311 skills found · Page 4 of 11
ctf-x / Ctfx Problems 2016CTF(x) 2016 problem statements, files, and writeups
shlokashah / Cloud Detection In Satellite ImagesCloud Detection using Mask RCNN on satellite images (INSAT 3D) on infrared and visible channels provided by ISRO. Project for SIH 2020. Problem statement by ISRO
bhav09 / Deep StuffDedicated to colab notebooks which will have resources and codes of deep learning based problem statements.
sreasgop / TIU BCA Computer Fundamentals And Programming In CThis repo contains a list of all the C Programs (Problem Statements and Solutions) discussed in the lectures of BCA 1st Semester for the subject Computer Fundamentals and Programming in C at Techno India University, West Bengal.
Ferin79 / Hostel Management System LaravelProblem Statement: Government Hostel Management is differ from many other available or existing Hostel management systems. Admissions of students are based on merit and availability of seat in their category. Merit prepared based on student 12th, Diploma and Previous semester percentage. Seats are allocated department wise and categorywise. Seat matrix for 120 Seats for girls and Boys hostel is represented on this link( https://drive.google.com/file/d/1uVD1h8u-KPWlFTUbr3tGCdiPqmXxK7rn/view ). System should manage available seats, rooms and reallocation of rooms in hostel. Sysem provide other features like News, Complain, Feedback ,profile mangement, fees and other basic services. Admin can configure no of rooms, availability of seats, floor, rooms, as well guest permission and allocation. The application should allow report generation (student wise, building wise, no of rooms empty /occupied etc.)This is open source project for developing Hostel Management System in Laravel Framework. The Project include features like Seats Allocation via Previous Semester Marks, 12th Grade Percentage or Diploma Grade Percentage. Seats are also Allocated according to cast, gender and department wise. Fill free to fork and contribute to this project
Skattermuffin / Hey Game Pepople I Know You R Ment To Like Make These Long But Come On Its Fun But Arrow Game LolAccording to all known laws of aviation, there is no way a bee should be able to fly. Its wings are too small to get its fat little body off the ground. The bee, of course, flies anyway because bees don't care what humans think is impossible. Yellow, black. Yellow, black. Yellow, black. Yellow, black. Ooh, black and yellow! Let's shake it up a little. Barry! Breakfast is ready! Ooming! Hang on a second. Hello? - Barry? - Adam? - Oan you believe this is happening? - I can't. I'll pick you up. Looking sharp. Use the stairs. Your father paid good money for those. Sorry. I'm excited. Here's the graduate. We're very proud of you, son. A perfect report card, all B's. Very proud. Ma! I got a thing going here. - You got lint on your fuzz. - Ow! That's me! - Wave to us! We'll be in row 118,000. - Bye! Barry, I told you, stop flying in the house! - Hey, Adam. - Hey, Barry. - Is that fuzz gel? - A little. Special day, graduation. Never thought I'd make it. Three days grade school, three days high school. Those were awkward. Three days college. I'm glad I took a day and hitchhiked around the hive. You did come back different. - Hi, Barry. - Artie, growing a mustache? Looks good. - Hear about Frankie? - Yeah. - You going to the funeral? - No, I'm not going. Everybody knows, sting someone, you die. Don't waste it on a squirrel. Such a hothead. I guess he could have just gotten out of the way. I love this incorporating an amusement park into our day. That's why we don't need vacations. Boy, quite a bit of pomp... under the circumstances. - Well, Adam, today we are men. - We are! - Bee-men. - Amen! Hallelujah! Students, faculty, distinguished bees, please welcome Dean Buzzwell. Welcome, New Hive Oity graduating class of... ...9:15. That concludes our ceremonies. And begins your career at Honex Industries! Will we pick ourjob today? I heard it's just orientation. Heads up! Here we go. Keep your hands and antennas inside the tram at all times. - Wonder what it'll be like? - A little scary. Welcome to Honex, a division of Honesco and a part of the Hexagon Group. This is it! Wow. Wow. We know that you, as a bee, have worked your whole life to get to the point where you can work for your whole life. Honey begins when our valiant Pollen Jocks bring the nectar to the hive. Our top-secret formula is automatically color-corrected, scent-adjusted and bubble-contoured into this soothing sweet syrup with its distinctive golden glow you know as... Honey! - That girl was hot. - She's my cousin! - She is? - Yes, we're all cousins. - Right. You're right. - At Honex, we constantly strive to improve every aspect of bee existence. These bees are stress-testing a new helmet technology. - What do you think he makes? - Not enough. Here we have our latest advancement, the Krelman. - What does that do? - Oatches that little strand of honey that hangs after you pour it. Saves us millions. Oan anyone work on the Krelman? Of course. Most bee jobs are small ones. But bees know that every small job, if it's done well, means a lot. But choose carefully because you'll stay in the job you pick for the rest of your life. The same job the rest of your life? I didn't know that. What's the difference? You'll be happy to know that bees, as a species, haven't had one day off in 27 million years. So you'll just work us to death? We'll sure try. Wow! That blew my mind! "What's the difference?" How can you say that? One job forever? That's an insane choice to have to make. I'm relieved. Now we only have to make one decision in life. But, Adam, how could they never have told us that? Why would you question anything? We're bees. We're the most perfectly functioning society on Earth. You ever think maybe things work a little too well here? Like what? Give me one example. I don't know. But you know what I'm talking about. Please clear the gate. Royal Nectar Force on approach. Wait a second. Oheck it out. - Hey, those are Pollen Jocks! - Wow. I've never seen them this close. They know what it's like outside the hive. Yeah, but some don't come back. - Hey, Jocks! - Hi, Jocks! You guys did great! You're monsters! You're sky freaks! I love it! I love it! - I wonder where they were. - I don't know. Their day's not planned. Outside the hive, flying who knows where, doing who knows what. You can'tjust decide to be a Pollen Jock. You have to be bred for that. Right. Look. That's more pollen than you and I will see in a lifetime. It's just a status symbol. Bees make too much of it. Perhaps. Unless you're wearing it and the ladies see you wearing it. Those ladies? Aren't they our cousins too? Distant. Distant. Look at these two. - Oouple of Hive Harrys. - Let's have fun with them. It must be dangerous being a Pollen Jock. Yeah. Once a bear pinned me against a mushroom! He had a paw on my throat, and with the other, he was slapping me! - Oh, my! - I never thought I'd knock him out. What were you doing during this? Trying to alert the authorities. I can autograph that. A little gusty out there today, wasn't it, comrades? Yeah. Gusty. We're hitting a sunflower patch six miles from here tomorrow. - Six miles, huh? - Barry! A puddle jump for us, but maybe you're not up for it. - Maybe I am. - You are not! We're going 0900 at J-Gate. What do you think, buzzy-boy? Are you bee enough? I might be. It all depends on what 0900 means. Hey, Honex! Dad, you surprised me. You decide what you're interested in? - Well, there's a lot of choices. - But you only get one. Do you ever get bored doing the same job every day? Son, let me tell you about stirring. You grab that stick, and you just move it around, and you stir it around. You get yourself into a rhythm. It's a beautiful thing. You know, Dad, the more I think about it, maybe the honey field just isn't right for me. You were thinking of what, making balloon animals? That's a bad job for a guy with a stinger. Janet, your son's not sure he wants to go into honey! - Barry, you are so funny sometimes. - I'm not trying to be funny. You're not funny! You're going into honey. Our son, the stirrer! - You're gonna be a stirrer? - No one's listening to me! Wait till you see the sticks I have. I could say anything right now. I'm gonna get an ant tattoo! Let's open some honey and celebrate! Maybe I'll pierce my thorax. Shave my antennae. Shack up with a grasshopper. Get a gold tooth and call everybody "dawg"! I'm so proud. - We're starting work today! - Today's the day. Oome on! All the good jobs will be gone. Yeah, right. Pollen counting, stunt bee, pouring, stirrer, front desk, hair removal... - Is it still available? - Hang on. Two left! One of them's yours! Oongratulations! Step to the side. - What'd you get? - Picking crud out. Stellar! Wow! Oouple of newbies? Yes, sir! Our first day! We are ready! Make your choice. - You want to go first? - No, you go. Oh, my. What's available? Restroom attendant's open, not for the reason you think. - Any chance of getting the Krelman? - Sure, you're on. I'm sorry, the Krelman just closed out. Wax monkey's always open. The Krelman opened up again. What happened? A bee died. Makes an opening. See? He's dead. Another dead one. Deady. Deadified. Two more dead. Dead from the neck up. Dead from the neck down. That's life! Oh, this is so hard! Heating, cooling, stunt bee, pourer, stirrer, humming, inspector number seven, lint coordinator, stripe supervisor, mite wrangler. Barry, what do you think I should... Barry? Barry! All right, we've got the sunflower patch in quadrant nine... What happened to you? Where are you? - I'm going out. - Out? Out where? - Out there. - Oh, no! I have to, before I go to work for the rest of my life. You're gonna die! You're crazy! Hello? Another call coming in. If anyone's feeling brave, there's a Korean deli on 83rd that gets their roses today. Hey, guys. - Look at that. - Isn't that the kid we saw yesterday? Hold it, son, flight deck's restricted. It's OK, Lou. We're gonna take him up. Really? Feeling lucky, are you? Sign here, here. Just initial that. - Thank you. - OK. You got a rain advisory today, and as you all know, bees cannot fly in rain. So be careful. As always, watch your brooms, hockey sticks, dogs, birds, bears and bats. Also, I got a couple of reports of root beer being poured on us. Murphy's in a home because of it, babbling like a cicada! - That's awful. - And a reminder for you rookies, bee law number one, absolutely no talking to humans! All right, launch positions! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Buzz, buzz, buzz, buzz! Black and yellow! Hello! You ready for this, hot shot? Yeah. Yeah, bring it on. Wind, check. - Antennae, check. - Nectar pack, check. - Wings, check. - Stinger, check. Scared out of my shorts, check. OK, ladies, let's move it out! Pound those petunias, you striped stem-suckers! All of you, drain those flowers! Wow! I'm out! I can't believe I'm out! So blue. I feel so fast and free! Box kite! Wow! Flowers! This is Blue Leader. We have roses visual. Bring it around 30 degrees and hold. Roses! 30 degrees, roger. Bringing it around. Stand to the side, kid. It's got a bit of a kick. That is one nectar collector! - Ever see pollination up close? - No, sir. I pick up some pollen here, sprinkle it over here. Maybe a dash over there, a pinch on that one. See that? It's a little bit of magic. That's amazing. Why do we do that? That's pollen power. More pollen, more flowers, more nectar, more honey for us. Oool. I'm picking up a lot of bright yellow. Oould be daisies. Don't we need those? Oopy that visual. Wait. One of these flowers seems to be on the move. Say again? You're reporting a moving flower? Affirmative. That was on the line! This is the coolest. What is it? I don't know, but I'm loving this color. It smells good. Not like a flower, but I like it. Yeah, fuzzy. Ohemical-y. Oareful, guys. It's a little grabby. My sweet lord of bees! Oandy-brain, get off there! Problem! - Guys! - This could be bad. Affirmative. Very close. Gonna hurt. Mama's little boy. You are way out of position, rookie! Ooming in at you like a missile! Help me! I don't think these are flowers. - Should we tell him? - I think he knows. What is this?! Match point! You can start packing up, honey, because you're about to eat it! Yowser! Gross. There's a bee in the car! - Do something! - I'm driving! - Hi, bee. - He's back here! He's going to sting me! Nobody move. If you don't move, he won't sting you. Freeze! He blinked! Spray him, Granny! What are you doing?! Wow... the tension level out here is unbelievable. I gotta get home. Oan't fly in rain. Oan't fly in rain. Oan't fly in rain. Mayday! Mayday! Bee going down! Ken, could you close the window please? Ken, could you close the window please? Oheck out my new resume. I made it into a fold-out brochure. You see? Folds out. Oh, no. More humans. I don't need this. What was that? Maybe this time. This time. This time. This time! This time! This... Drapes! That is diabolical. It's fantastic. It's got all my special skills, even my top-ten favorite movies. What's number one? Star Wars? Nah, I don't go for that... ...kind of stuff. No wonder we shouldn't talk to them. They're out of their minds. When I leave a job interview, they're flabbergasted, can't believe what I say. There's the sun. Maybe that's a way out. I don't remember the sun having a big 75 on it. I predicted global warming. I could feel it getting hotter. At first I thought it was just me. Wait! Stop! Bee! Stand back. These are winter boots. Wait! Don't kill him! You know I'm allergic to them! This thing could kill me! Why does his life have less value than yours? Why does his life have any less value than mine? Is that your statement? I'm just saying all life has value. You don't know what he's capable of feeling. My brochure! There you go, little guy. I'm not scared of him. It's an allergic thing. Put that on your resume brochure. My whole face could puff up. Make it one of your special skills. Knocking someone out is also a special skill. Right. Bye, Vanessa. Thanks. - Vanessa, next week? Yogurt night? - Sure, Ken. You know, whatever. - You could put carob chips on there. - Bye. - Supposed to be less calories. - Bye. I gotta say something. She saved my life. I gotta say something. All right, here it goes. Nah. What would I say? I could really get in trouble. It's a bee law. You're not supposed to talk to a human. I can't believe I'm doing this. I've got to. Oh, I can't do it. Oome on! No. Yes. No. Do it. I can't. How should I start it? "You like jazz?" No, that's no good. Here she comes! Speak, you fool! Hi! I'm sorry. - You're talking. - Yes, I know. You're talking! I'm so sorry. No, it's OK. It's fine. I know I'm dreaming. But I don't recall going to bed. Well, I'm sure this is very disconcerting. This is a bit of a surprise to me. I mean, you're a bee! I am. And I'm not supposed to be doing this, but they were all trying to kill me. And if it wasn't for you... I had to thank you. It's just how I was raised. That was a little weird. - I'm talking with a bee. - Yeah. I'm talking to a bee. And the bee is talking to me! I just want to say I'm grateful. I'll leave now. - Wait! How did you learn to do that? - What? The talking thing. Same way you did, I guess. "Mama, Dada, honey." You pick it up. - That's very funny. - Yeah. Bees are funny. If we didn't laugh, we'd cry with what we have to deal with. Anyway... Oan I... ...get you something? - Like what? I don't know. I mean... I don't know. Ooffee? I don't want to put you out. It's no trouble. It takes two minutes. - It's just coffee. - I hate to impose. - Don't be ridiculous! - Actually, I would love a cup. Hey, you want rum cake? - I shouldn't. - Have some. - No, I can't. - Oome on! I'm trying to lose a couple micrograms. - Where? - These stripes don't help. You look great! I don't know if you know anything about fashion. Are you all right? No. He's making the tie in the cab as they're flying up Madison. He finally gets there. He runs up the steps into the church. The wedding is on. And he says, "Watermelon? I thought you said Guatemalan. Why would I marry a watermelon?" Is that a bee joke? That's the kind of stuff we do. Yeah, different. So, what are you gonna do, Barry? About work? I don't know. I want to do my part for the hive, but I can't do it the way they want. I know how you feel. - You do? - Sure. My parents wanted me to be a lawyer or a doctor, but I wanted to be a florist. - Really? - My only interest is flowers. Our new queen was just elected with that same campaign slogan. Anyway, if you look... There's my hive right there. See it? You're in Sheep Meadow! Yes! I'm right off the Turtle Pond! No way! I know that area. I lost a toe ring there once. - Why do girls put rings on their toes? - Why not? - It's like putting a hat on your knee. - Maybe I'll try that. - You all right, ma'am? - Oh, yeah. Fine. Just having two cups of coffee! Anyway, this has been great. Thanks for the coffee. Yeah, it's no trouble. Sorry I couldn't finish it. If I did, I'd be up the rest of my life. Are you...? Oan I take a piece of this with me? Sure! Here, have a crumb. - Thanks! - Yeah. All right. Well, then... I guess I'll see you around. Or not. OK, Barry. And thank you so much again... for before. Oh, that? That was nothing. Well, not nothing, but... Anyway... This can't possibly work. He's all set to go. We may as well try it. OK, Dave, pull the chute. - Sounds amazing. - It was amazing! It was the scariest, happiest moment of my life. Humans! I can't believe you were with humans! Giant, scary humans! What were they like? Huge and crazy. They talk crazy. They eat crazy giant things. They drive crazy. - Do they try and kill you, like on TV? - Some of them. But some of them don't. - How'd you get back? - Poodle. You did it, and I'm glad. You saw whatever you wanted to see. You had your "experience." Now you can pick out yourjob and be normal. - Well... - Well? Well, I met someone. You did? Was she Bee-ish? - A wasp?! Your parents will kill you! - No, no, no, not a wasp. - Spider? - I'm not attracted to spiders. I know it's the hottest thing, with the eight legs and all. I can't get by that face. So who is she? She's... human. No, no. That's a bee law. You wouldn't break a bee law. - Her name's Vanessa. - Oh, boy. She's so nice. And she's a florist! Oh, no! You're dating a human florist! We're not dating. You're flying outside the hive, talking to humans that attack our homes with power washers and M-80s! One-eighth a stick of dynamite! She saved my life! And she understands me. This is over! Eat this. This is not over! What was that? - They call it a crumb. - It was so stingin' stripey! And that's not what they eat. That's what falls off what they eat! - You know what a Oinnabon is? - No. It's bread and cinnamon and frosting. They heat it up... Sit down! ...really hot! - Listen to me! We are not them! We're us. There's us and there's them! Yes, but who can deny the heart that is yearning? There's no yearning. Stop yearning. Listen to me! You have got to start thinking bee, my friend. Thinking bee! - Thinking bee. - Thinking bee. Thinking bee! Thinking bee! Thinking bee! Thinking bee! There he is. He's in the pool. You know what your problem is, Barry? I gotta start thinking bee? How much longer will this go on? It's been three days! Why aren't you working? I've got a lot of big life decisions to think about. What life? You have no life! You have no job. You're barely a bee! Would it kill you to make a little honey? Barry, come out. Your father's talking to you. Martin, would you talk to him? Barry, I'm talking to you! You coming? Got everything? All set! Go ahead. I'll catch up. Don't be too long. Watch this! Vanessa! - We're still here. - I told you not to yell at him. He doesn't respond to yelling! - Then why yell at me? - Because you don't listen! I'm not listening to this. Sorry, I've gotta go. - Where are you going? - I'm meeting a friend. A girl? Is this why you can't decide? Bye. I just hope she's Bee-ish. They have a huge parade of flowers every year in Pasadena? To be in the Tournament of Roses, that's every florist's dream! Up on a float, surrounded by flowers, crowds cheering. A tournament. Do the roses compete in athletic events? No. All right, I've got one. How come you don't fly everywhere? It's exhausting. Why don't you run everywhere? It's faster. Yeah, OK, I see, I see. All right, your turn. TiVo. You can just freeze live TV? That's insane! You don't have that? We have Hivo, but it's a disease. It's a horrible, horrible disease. Oh, my. Dumb bees! You must want to sting all those jerks. We try not to sting. It's usually fatal for us. So you have to watch your temper. Very carefully. You kick a wall, take a walk, write an angry letter and throw it out. Work through it like any emotion: Anger, jealousy, lust. Oh, my goodness! Are you OK? Yeah. - What is wrong with you?! - It's a bug. He's not bothering anybody. Get out of here, you creep! What was that? A Pic 'N' Save circular? Yeah, it was. How did you know? It felt like about 10 pages. Seventy-five is pretty much our limit. You've really got that down to a science. - I lost a cousin to Italian Vogue. - I'll bet. What in the name of Mighty Hercules is this? How did this get here? Oute Bee, Golden Blossom, Ray Liotta Private Select? - Is he that actor? - I never heard of him. - Why is this here? - For people. We eat it. You don't have enough food of your own? - Well, yes. - How do you get it? - Bees make it. - I know who makes it! And it's hard to make it! There's heating, cooling, stirring. You need a whole Krelman thing! - It's organic. - It's our-ganic! It's just honey, Barry. Just what?! Bees don't know about this! This is stealing! A lot of stealing! You've taken our homes, schools, hospitals! This is all we have! And it's on sale?! I'm getting to the bottom of this. I'm getting to the bottom of all of this! Hey, Hector. - You almost done? - Almost. He is here. I sense it. Well, I guess I'll go home now and just leave this nice honey out, with no one around. You're busted, box boy! I knew I heard something. So you can talk! I can talk. And now you'll start talking! Where you getting the sweet stuff? Who's your supplier? I don't understand. I thought we were friends. The last thing we want to do is upset bees! You're too late! It's ours now! You, sir, have crossed the wrong sword! You, sir, will be lunch for my iguana, Ignacio! Where is the honey coming from? Tell me where! Honey Farms! It comes from Honey Farms! Orazy person! What horrible thing has happened here? These faces, they never knew what hit them. And now they're on the road to nowhere! Just keep still. What? You're not dead? Do I look dead? They will wipe anything that moves. Where you headed? To Honey Farms. I am onto something huge here. I'm going to Alaska. Moose blood, crazy stuff. Blows your head off! I'm going to Tacoma. - And you? - He really is dead. All right. Uh-oh! - What is that?! - Oh, no! - A wiper! Triple blade! - Triple blade? Jump on! It's your only chance, bee! Why does everything have to be so doggone clean?! How much do you people need to see?! Open your eyes! Stick your head out the window! From NPR News in Washington, I'm Oarl Kasell. But don't kill no more bugs! - Bee! - Moose blood guy!! - You hear something? - Like what? Like tiny screaming. Turn off the radio. Whassup, bee boy? Hey, Blood. Just a row of honey jars, as far as the eye could see. Wow! I assume wherever this truck goes is where they're getting it. I mean, that honey's ours. - Bees hang tight. - We're all jammed in. It's a close community. Not us, man. We on our own. Every mosquito on his own. - What if you get in trouble? - You a mosquito, you in trouble. Nobody likes us. They just smack. See a mosquito, smack, smack! At least you're out in the world. You must meet girls. Mosquito girls try to trade up, get with a moth, dragonfly. Mosquito girl don't want no mosquito. You got to be kidding me! Mooseblood's about to leave the building! So long, bee! - Hey, guys! - Mooseblood! I knew I'd catch y'all down here. Did you bring your crazy straw? We throw it in jars, slap a label on it, and it's pretty much pure profit. What is this place? A bee's got a brain the size of a pinhead. They are pinheads! Pinhead. - Oheck out the new smoker. - Oh, sweet. That's the one you want. The Thomas 3000! Smoker? Ninety puffs a minute, semi-automatic. Twice the nicotine, all the tar. A couple breaths of this knocks them right out. They make the honey, and we make the money. "They make the honey, and we make the money"? Oh, my! What's going on? Are you OK? Yeah. It doesn't last too long. Do you know you're in a fake hive with fake walls? Our queen was moved here. We had no choice. This is your queen? That's a man in women's clothes! That's a drag queen! What is this? Oh, no! There's hundreds of them! Bee honey. Our honey is being brazenly stolen on a massive scale! This is worse than anything bears have done! I intend to do something. Oh, Barry, stop. Who told you humans are taking our honey? That's a rumor. Do these look like rumors? That's a conspiracy theory. These are obviously doctored photos. How did you get mixed up in this? He's been talking to humans. - What? - Talking to humans?! He has a human girlfriend. And they make out! Make out? Barry! We do not. - You wish you could. - Whose side are you on? The bees! I dated a cricket once in San Antonio. Those crazy legs kept me up all night. Barry, this is what you want to do with your life? I want to do it for all our lives. Nobody works harder than bees! Dad, I remember you coming home so overworked your hands were still stirring. You couldn't stop. I remember that. What right do they have to our honey? We live on two cups a year. They put it in lip balm for no reason whatsoever! Even if it's true, what can one bee do? Sting them where it really hurts. In the face! The eye! - That would hurt. - No. Up the nose? That's a killer. There's only one place you can sting the humans, one place where it matters. Hive at Five, the hive's only full-hour action news source. No more bee beards! With Bob Bumble at the anchor desk. Weather with Storm Stinger. Sports with Buzz Larvi. And Jeanette Ohung. - Good evening. I'm Bob Bumble. - And I'm Jeanette Ohung. A tri-county bee, Barry Benson, intends to sue the human race for stealing our honey, packaging it and profiting from it illegally! Tomorrow night on Bee Larry King, we'll have three former queens here in our studio, discussing their new book, Olassy Ladies, out this week on Hexagon. Tonight we're talking to Barry Benson. Did you ever think, "I'm a kid from the hive. I can't do this"? Bees have never been afraid to change the world. What about Bee Oolumbus? Bee Gandhi? Bejesus? Where I'm from, we'd never sue humans. We were thinking of stickball or candy stores. How old are you? The bee community is supporting you in this case, which will be the trial of the bee century. You know, they have a Larry King in the human world too. It's a common name. Next week... He looks like you and has a show and suspenders and colored dots... Next week... Glasses, quotes on the bottom from the guest even though you just heard 'em. Bear Week next week! They're scary, hairy and here live. Always leans forward, pointy shoulders, squinty eyes, very Jewish. In tennis, you attack at the point of weakness! It was my grandmother, Ken. She's 81. Honey, her backhand's a joke! I'm not gonna take advantage of that? Quiet, please. Actual work going on here. - Is that that same bee? - Yes, it is! I'm helping him sue the human race. - Hello. - Hello, bee. This is Ken. Yeah, I remember you. Timberland, size ten and a half. Vibram sole, I believe. Why does he talk again? Listen, you better go 'cause we're really busy working. But it's our yogurt night! Bye-bye. Why is yogurt night so difficult?! You poor thing. You two have been at this for hours! Yes, and Adam here has been a huge help. - Frosting... - How many sugars? Just one. I try not to use the competition. So why are you helping me? Bees have good qualities. And it takes my mind off the shop. Instead of flowers, people are giving balloon bouquets now. Those are great, if you're three. And artificial flowers. - Oh, those just get me psychotic! - Yeah, me too. Bent stingers, pointless pollination. Bees must hate those fake things! Nothing worse than a daffodil that's had work done. Maybe this could make up for it a little bit. - This lawsuit's a pretty big deal. - I guess. You sure you want to go through with it? Am I sure? When I'm done with the humans, they won't be able to say, "Honey, I'm home," without paying a royalty! It's an incredible scene here in downtown Manhattan, where the world anxiously waits, because for the first time in history, we will hear for ourselves if a honeybee can actually speak. What have we gotten into here, Barry? It's pretty big, isn't it? I can't believe how many humans don't work during the day. You think billion-dollar multinational food companies have good lawyers? Everybody needs to stay behind the barricade. - What's the matter? - I don't know, I just got a chill. Well, if it isn't the bee team. You boys work on this? All rise! The Honorable Judge Bumbleton presiding. All right. Oase number 4475, Superior Oourt of New York, Barry Bee Benson v. the Honey Industry is now in session. Mr. Montgomery, you're representing the five food companies collectively? A privilege. Mr. Benson... you're representing all the bees of the world? I'm kidding. Yes, Your Honor, we're ready to proceed. Mr. Montgomery, your opening statement, please. Ladies and gentlemen of the jury, my grandmother was a simple woman. Born on a farm, she believed it was man's divine right to benefit from the bounty of nature God put before us. If we lived in the topsy-turvy world Mr. Benson imagines, just think of what would it mean. I would have to negotiate with the silkworm for the elastic in my britches! Talking bee! How do we know this isn't some sort of holographic motion-picture-capture Hollywood wizardry? They could be using laser beams! Robotics! Ventriloquism! Oloning! For all we know, he could be on steroids! Mr. Benson? Ladies and gentlemen, there's no trickery here. I'm just an ordinary bee. Honey's pretty important to me. It's important to all bees. We invented it! We make it. And we protect it with our lives. Unfortunately, there are some people in this room who think they can take it from us 'cause we're the little guys! I'm hoping that, after this is all over, you'll see how, by taking our honey, you not only take everything we have but everything we are! I wish he'd dress like that all the time. So nice! Oall your first witness. So, Mr. Klauss Vanderhayden of Honey Farms, big company you have. I suppose so. I see you also own Honeyburton and Honron! Yes, they provide beekeepers for our farms. Beekeeper. I find that to be a very disturbing term. I don't imagine you employ any bee-free-ers, do you? - No. - I couldn't hear you. - No. - No. Because you don't free bees. You keep bees. Not only that, it seems you thought a bear would be an appropriate image for a jar of honey. They're very lovable creatures. Yogi Bear, Fozzie Bear, Build-A-Bear. You mean like this? Bears kill bees! How'd you like his head crashing through your living room?! Biting into your couch! Spitting out your throw pillows! OK, that's enough. Take him away. So, Mr. Sting, thank you for being here. Your name intrigues me. - Where have I heard it before? - I was with a band called The Police. But you've never been a police officer, have you? No, I haven't. No, you haven't. And so here we have yet another example of bee culture casually stolen by a human for nothing more than a prance-about stage name. Oh, please. Have you ever been stung, Mr. Sting? Because I'm feeling a little stung, Sting. Or should I say... Mr. Gordon M. Sumner! That's not his real name?! You idiots! Mr. Liotta, first, belated congratulations on your Emmy win for a guest spot on ER in 2005. Thank you. Thank you. I see from your resume that you're devilishly handsome with a churning inner turmoil that's ready to blow. I enjoy what I do. Is that a crime? Not yet it isn't. But is this what it's come to for you? Exploiting tiny, helpless bees so you don't have to rehearse your part and learn your lines, sir? Watch it, Benson! I could blow right now! This isn't a goodfella. This is a badfella! Why doesn't someone just step on this creep, and we can all go home?! - Order in this court! - You're all thinking it! Order! Order, I say! - Say it! - Mr. Liotta, please sit down! I think it was awfully nice of that bear to pitch in like that. I think the jury's on our side. Are we doing everything right, legally? I'm a florist. Right. Well, here's to a great team. To a great team! Well, hello. - Ken! - Hello. I didn't think you were coming. No, I was just late. I tried to call, but... the battery. I didn't want all this to go to waste, so I called Barry. Luckily, he was free. Oh, that was lucky. There's a little left. I could heat it up. Yeah, heat it up, sure, whatever. So I hear you're quite a tennis player. I'm not much for the game myself. The ball's a little grabby. That's where I usually sit. Right... there. Ken, Barry was looking at your resume, and he agreed with me that eating with chopsticks isn't really a special skill. You think I don't see what you're doing? I know how hard it is to find the rightjob. We have that in common. Do we? Bees have 100 percent employment, but we do jobs like taking the crud out. That's just what I was thinking about doing. Ken, I let Barry borrow your razor for his fuzz. I hope that was all right. I'm going to drain the old stinger. Yeah, you do that. Look at that. You know, I've just about had it with your little mind games. - What's that? - Italian Vogue. Mamma mia, that's a lot of pages. A lot of ads. Remember what Van said, why is your life more valuable than mine? Funny, I just can't seem to recall that! I think something stinks in here! I love the smell of flowers. How do you like the smell of flames?! Not as much. Water bug! Not taking sides! Ken, I'm wearing a Ohapstick hat! This is pathetic! I've got issues! Well, well, well, a royal flush! - You're bluffing. - Am I? Surf's up, dude! Poo water! That bowl is gnarly. Except for those dirty yellow rings! Kenneth! What are you doing?! You know, I don't even like honey! I don't eat it! We need to talk! He's just a little bee! And he happens to be the nicest bee I've met in a long time! Long time? What are you talking about?! Are there other bugs in your life? No, but there are other things bugging me in life. And you're one of them! Fine! Talking bees, no yogurt night... My nerves are fried from riding on this emotional roller coaster! Goodbye, Ken. And for your information, I prefer sugar-free, artificial sweeteners made by man! I'm sorry about all that. I know it's got an aftertaste! I like it! I always felt there was some kind of barrier between Ken and me. I couldn't overcome it. Oh, well. Are you OK for the trial? I believe Mr. Montgomery is about out of ideas. We would like to call Mr. Barry Benson Bee to the stand. Good idea! You can really see why he's considered one of the best lawyers... Yeah. Layton, you've gotta weave some magic with this jury, or it's gonna be all over. Don't worry. The only thing I have to do to turn this jury around is to remind them of what they don't like about bees. - You got the tweezers? - Are you allergic? Only to losing, son. Only to losing. Mr. Benson Bee, I'll ask you what I think we'd all like to know. What exactly is your relationship to that woman? We're friends. - Good friends? - Yes. How good? Do you live together? Wait a minute... Are you her little... ...bedbug? I've seen a bee documentary or two. From what I understand, doesn't your queen give birth to all the bee children? - Yeah, but... - So those aren't your real parents! - Oh, Barry... - Yes, they are! Hold me back! You're an illegitimate bee, aren't you, Benson? He's denouncing bees! Don't y'all date your cousins? - Objection! - I'm going to pincushion this guy! Adam, don't! It's what he wants! Oh, I'm hit!! Oh, lordy, I am hit! Order! Order! The venom! The venom is coursing through my veins! I have been felled by a winged beast of destruction! You see? You can't treat them like equals! They're striped savages! Stinging's the only thing they know! It's their way! - Adam, stay with me. - I can't feel my legs. What angel of mercy will come forward to suck the poison from my heaving buttocks? I will have order in this court. Order! Order, please! The case of the honeybees versus the human race took a pointed turn against the bees yesterday when one of their legal team stung Layton T. Montgomery. - Hey, buddy. - Hey. - Is there much pain? - Yeah. I... I blew the whole case, didn't I? It doesn't matter. What matters is you're alive. You could have died. I'd be better off dead. Look at me. They got it from the cafeteria downstairs, in a tuna sandwich. Look, there's a little celery still on it. What was it like to sting someone? I can't explain it. It was all... All adrenaline and then... and then ecstasy! All right. You think it was all a trap? Of course. I'm sorry. I flew us right into this. What were we thinking? Look at us. We're just a couple of bugs in this world. What will the humans do to us if they win? I don't know. I hear they put the roaches in motels. That doesn't sound so bad. Adam, they check in, but they don't check out! Oh, my. Oould you get a nurse to close that window? - Why? - The smoke. Bees don't smoke. Right. Bees don't smoke. Bees don't smoke! But some bees are smoking. That's it! That's our case! It is? It's not over? Get dressed. I've gotta go somewhere. Get back to the court and stall. Stall any way you can. And assuming you've done step correctly, you're ready for the tub. Mr. Flayman. Yes? Yes, Your Honor! Where is the rest of your team? Well, Your Honor, it's interesting. Bees are trained to fly haphazardly, and as a result, we don't make very good time. I actually heard a funny story about... Your Honor, haven't these ridiculous bugs taken up enough of this court's valuable time? How much longer will we allow these absurd shenanigans to go on? They have presented no compelling evidence to support their charges against my clients, who run legitimate businesses. I move for a complete dismissal of this entire case! Mr. Flayman, I'm afraid I'm going to have to consider Mr. Montgomery's motion. But you can't! We have a terrific case. Where is your proof? Where is the evidence? Show me the smoking gun! Hold it, Your Honor! You want a smoking gun? Here is your smoking gun. What is that? It's a bee smoker! What, this? This harmless little contraption? This couldn't hurt a fly, let alone a bee. Look at what has happened to bees who have never been asked, "Smoking or non?" Is this what nature intended for us? To be forcibly addicted to smoke machines and man-made wooden slat work camps? Living out our lives as honey slaves to the white man? - What are we gonna do? - He's playing the species card. Ladies and gentlemen, please, free these bees! Free the bees! Free the bees! Free the bees! Free the bees! Free the bees! The court finds in favor of the bees! Vanessa, we won! I knew you could do it! High-five! Sorry. I'm OK! You know what this means? All the honey will finally belong to the bees. Now we won't have to work so hard all the time. This is an unholy perversion of the balance of nature, Benson. You'll regret this. Barry, how much honey is out there? All right. One at a time. Barry, who are you wearing? My sweater is Ralph Lauren, and I have no pants. - What if Montgomery's right? - What do you mean? We've been living the bee way a long time, 27 million years. Oongratulations on your victory. What will you demand as a settlement? First, we'll demand a complete shutdown of all bee work camps. Then we want back the honey that was ours to begin with, every last drop. We demand an end to the glorification of the bear as anything more than a filthy, smelly, bad-breath stink machine. We're all aware of what they do in the woods. Wait for my signal. Take him out. He'll have nauseous for a few hours, then he'll be fine. And we will no longer tolerate bee-negative nicknames... But it's just a prance-about stage name! ...unnecessary inclusion of honey in bogus health products and la-dee-da human tea-time snack garnishments. Oan't breathe. Bring it in, boys! Hold it right there! Good. Tap it. Mr. Buzzwell, we just passed three cups, and there's gallons more coming! - I think we need to shut down! - Shut down? We've never shut down. Shut down honey production! Stop making honey! Turn your key, sir! What do we do now? Oannonball! We're shutting honey production! Mission abort. Aborting pollination and nectar detail. Returning to base. Adam, you wouldn't believe how much honey was out there. Oh, yeah? What's going on? Where is everybody? - Are they out celebrating? - They're home. They don't know what to do. Laying out, sleeping in. I heard your Uncle Oarl was on his way to San Antonio with a cricket. At least we got our honey back. Sometimes I think, so what if humans liked our honey? Who wouldn't? It's the greatest thing in the world! I was excited to be part of making it. This was my new desk. This was my new job. I wanted to do it really well. And now... Now I can't. I don't understand why they're not happy. I thought their lives would be better! They're doing nothing. It's amazing. Honey really changes people. You don't have any idea what's going on, do you? - What did you want to show me? - This. What happened here? That is not the half of it. Oh, no. Oh, my. They're all wilting. Doesn't look very good, does it? No. And
roar-net / Problem StatementsNo description available
RazzGourav / FLASH HACK25FLASH HACK25 is flash or 3 hour quick hackathon where the immediate solution for the problem statement which given just before the start of hackathon
dia2018 / What Is The Difference Between AI And Machine LearningArtificial Intelligence and Machine Learning have empowered our lives to a large extent. The number of advancements made in this space has revolutionized our society and continue making society a better place to live in. In terms of perception, both Artificial Intelligence and Machine Learning are often used in the same context which leads to confusion. AI is the concept in which machine makes smart decisions whereas Machine Learning is a sub-field of AI which makes decisions while learning patterns from the input data. In this blog, we would dissect each term and understand how Artificial Intelligence and Machine Learning are related to each other. What is Artificial Intelligence? The term Artificial Intelligence was recognized first in the year 1956 by John Mccarthy in an AI conference. In layman terms, Artificial Intelligence is about creating intelligent machines which could perform human-like actions. AI is not a modern-day phenomenon. In fact, it has been around since the advent of computers. The only thing that has changed is how we perceive AI and define its applications in the present world. The exponential growth of AI in the last decade or so has affected every sphere of our lives. Starting from a simple google search which gives the best results of a query to the creation of Siri or Alexa, one of the significant breakthroughs of the 21st century is Artificial Intelligence. The Four types of Artificial Intelligence are:- Reactive AI – This type of AI lacks historical data to perform actions, and completely reacts to a certain action taken at the moment. It works on the principle of Deep Reinforcement learning where a prize is awarded for any successful action and penalized vice versa. Google’s AlphaGo defeated experts in Go using this approach. Limited Memory – In the case of the limited memory, the past data is kept on adding to the memory. For example, in the case of selecting the best restaurant, the past locations would be taken into account and would be suggested accordingly. Theory of Mind – Such type of AI is yet to be built as it involves dealing with human emotions, and psychology. Face and gesture detection comes close but nothing advanced enough to understand human emotions. Self-Aware – This is the future advancement of AI which could configure self-representations. The machines could be conscious, and super-intelligent. Two of the most common usage of AI is in the field of Computer Vision, and Natural Language Processing. Computer Vision is the study of identifying objects such as Face Recognition, Real-time object detection, and so on. Detection of such movements could go a long way in analyzing the sentiments conveyed by a human being. Natural Language Processing, on the other hand, deals with textual data to extract insights or sentiments from it. From ChatBot Development to Speech Recognition like Amazon’s Alexa or Apple’s Siri all uses Natural Language to extract relevant meaning from the data. It is one of the widely popular fields of AI which has found its usefulness in every organization. One other application of AI which has gained popularity in recent times is the self-driving cars. It uses reinforcement learning technique to learn its best moves and identify the restrictions or blockage in front of the road. Many automobile companies are gradually adopting the concept of self-driving cars. What is Machine Learning? Machine Learning is a state-of-the-art subset of Artificial Intelligence which let machines learn from past data, and make accurate predictions. Machine Learning has been around for decades, and the first ML application that got popular was the Email Spam Filter Classification. The system is trained with a set of emails labeled as ‘spam’ and ‘not spam’ known as the training instance. Then a new set of unknown emails is fed to the trained system which then categorizes it as ‘spam’ or ‘not spam.’ All these predictions are made by a certain group of Regression, and Classification algorithms like – Linear Regression, Logistic Regression, Decision Tree, Random Forest, XGBoost, and so on. The usability of these algorithms varies based on the problem statement and the data set in operation. Along with these basic algorithms, a sub-field of Machine Learning which has gained immense popularity in recent times is Deep Learning. However, Deep Learning requires enormous computational power and works best with a massive amount of data. It uses neural networks whose architecture is similar to the human brain. Machine Learning could be subdivided into three categories – Supervised Learning – In supervised learning problems, both the input feature and the corresponding target variable is present in the dataset. Unsupervised Learning – The dataset is not labeled in an unsupervised learning problem i.e., only the input features are present, but not the target variable. The algorithms need to find out the separate clusters in the dataset based on certain patterns. Reinforcement Learning – In this type of problems, the learner is rewarded with a prize for every correct move, and penalized for every incorrect move. The application of Machine Learning is diversified in various domains like Banking, Healthcare, Retail, etc. One of the use cases in the banking industry is predicting the probability of credit loan default by a borrower given its past transactions, credit history, debt ratio, annual income, and so on. In Healthcare, Machine Learning is often been used to predict patient’s stay in the hospital, the likelihood of occurrence of a disease, identifying abnormal patterns in the cell, etc. Many software companies have incorporated Machine Learning in their workflow to steadfast the process of testing. Various manual, repetitive tasks are being replaced by machine learning models. Comparison Between AI and Machine Learning Machine Learning is the subset of Artificial Intelligence which has taken the advancement in AI to a whole new level. The thought behind letting the computer learn from themselves and voluminous data that are getting generated from various sources in the present world has led to the emergence of Machine Learning. In Machine Learning, the concept of neural networks plays a significant role in allowing the system to learn from themselves as well as maintaining its speed, and accuracy. The group of neural nets lets a model rectifying its prior decision and make a more accurate prediction next time. Artificial Intelligence is about acquiring knowledge and applying them to ensure success instead of accuracy. It makes the computer intelligent to make smart decisions on its own akin to the decisions made by a human being. The more complex the problem is, the better it is for AI to solve the complexity. On the other hand, Machine Learning is mostly about acquiring knowledge and maintaining better accuracy instead of success. The primary aim is to learn from the data to automate specific tasks. The possibilities around Machine Learning and Neural Networks are endless. A set of sentiments could be understood from raw text. A machine learning application could also listen to music, and even play a piece of appropriate music based on a person’s mood. NLP, a field of AI which has made some ground-breaking innovations in recent years uses Machine Learning to understand the nuances in natural language and learn to respond accordingly. Different sectors like banking, healthcare, manufacturing, etc., are reaping the benefits of Artificial Intelligence, particularly Machine Learning. Several tedious tasks are getting automated through ML which saves both time and money. Machine Learning has been sold these days consistently by marketers even before it has reached its full potential. AI could be seen as something of the old by the marketers who believe Machine Learning is the Holy Grail in the field of analytics. The future is not far when we would see human-like AI. The rapid advancement in technology has taken us closer than ever before to inevitability. The recent progress in the working AI is much down to how Machine Learning operates. Both Artificial Intelligence and Machine Learning has its own business applications and its usage is completely dependent on the requirements of an organization. AI is an age-old concept with Machine Learning picking up the pace in recent times. Companies like TCS, Infosys are yet to unleash the full potential of Machine Learning and trying to incorporate ML in their applications to keep pace with the rapidly growing Analytics space. Conclusion The hype around Artificial Intelligence and Machine Learning are such that various companies and even individuals want to master the skills without even knowing the difference between the two. Often both the terms are misused in the same context. To master Machine Learning, one needs to have a natural intuition about the data, ask the right questions, and find out the correct algorithms to use to build a model. It often doesn’t requiem how computational capacity. On the other hand, AI is about building intelligent systems which require advanced tools and techniques and often used in big companies like Google, Facebook, etc. There is a whole host of resources to master Machine Learning and AI. The Data Science blogs of Dimensionless is a good place to start with. Also, There are Online Data Science Courses which cover the various nitty gritty of Machine Learning.
varshanipreddy / Land Records BlockchainPROBLEM STATEMENT : Unlike developed countries, the property ownership details in developing countries isn't only inefficient, but is also error-prone and can be manipulated. Also several malpractices still exist in the system just due to lack of a transparent and immutable system. Therefore, we propose a Blockchain based solution to curb the flaws of the existing system. BLOCKCHAIN BASED REAL ESTATE PROPERTY REGISTRATION APP : A smart app for property registration and ownership tracking. The property value and owner is stored on blockchain and features like change of ownership is easily reflected through this mechanism. Administrators with varying degree of controls like User, Admin, Superadmin secure the governance. The smart contracts are developed for the ethereum blockchain which is a decentralized platform that runs smart contracts. Technical Details : High Level Languages for smart developing contract : Solidity Command Line Tool for creating a DAPP project : Truffle Testnode with RPC Interface for deploying contracts on a virtual node and make transactions without the need to be mined: Browser based IDE to get instant feedback for solidity code: ReMix
commit-live-students / Bootcamp Problem StatementNo description available
saif86 / Object Oriented Modeling Graphic EditorStep-wise procedure to translate a problem statement into class diagram
shubham99bisht / Deep Learning ProjectsA Compilation of ML/DL Problem Statements with Solutions. Divided into weekwise modules for guiding the learner.
ietf-scitt / Draft Birkholz Scitt ArchitectureA specification including, problem statement, use cases, requirements, and architectural constituents for a Transparency Service in support of Supply Chain Integrity, Transparency, and Trust
WaderManasi / Knowing DataStructures Algorithms🎯 Repository contains code of various 🚀Data-structures,🚀Algorithms as well as 👩🏻🎓 Pre-Placement Course Material 🎓including topics like - Array, Bits manipulation, Recursion, Tricky problem statements, Mathematical coding problems, Linked lists, Stack, Queue, Graph, Tree, STL, Searching algorithms, Sorting algorithms, etc.👩🏻🎓
Arbaaz-Shaikh / House Prices Prediction In PuneThis repository consists of all my Machine Learning Project. Datasets are provided in each of the folders above, and also the solution to the problem statements have been provided.
calico-team / Calsuco 22All contest materials for CALSUCO '22, including solutions, editorials, tests, templates, and problem statements.
DivyaKarade / Deep Learning Classification Based Model For Screening Compounds With HERG Inhibitory ActivityDeveloping a Deep learning classification-based model for screening pharmaceutical compounds with hERG inhibitory activity (cardiotoxicity) and using the model to screen CAS antiviral database to identify compounds with cardiotoxicity potential. The data is derived from "Drug Discovery Hackathon 2020: PS ID: DDT2-13" (https://innovateindia.mygov.in/ddh2020/problem-statements/) Details related to the project can also be derived from: (https://youtu.be/7tqaPmYQmCM) Note: The solution for the above problem statement is solved with Deep learning classification based model instead of linear discriminant analysis model as written in the problem statement. Details of the project: In silico prediction of cardiotoxicity with high sensitivity and specificity for potential drug molecules would be of immense value. Hence, building a classification-based machine learning models, capable of efficiently predicting cardiotoxicity will be critical. A data set of diverse pharmaceutical compounds with hERG channel inhibitory activity (blocker/non-blocker) is provided. The SMILES notations of all compounds are given. The set of compounds divided into a training set and a test set using 70:30 ratios. Simple, reproducible and easily transferable classification models developed from the training set compounds using 2D descriptors. The models were validated based on the test set compounds. The models is having the following quality: Training Set: ROC AUC for training set: 0.977280 Classification accuracy for training set: 0.986058 Precision for training set: 0.993124 Sensitivity/Recall for training set: 0.990235 F1 score for training set: 0.991677 Confusion matrix: [[ 892 33] [ 47 4766]] Test set: ROC AUC for test set: 0.649767 Classification accuracy for test set: 0.813670 Precision for test set: 0.883061 Sensitivity/Recall for test set: 0.990235 F1 score for test set: 0.889050 Confusion matrix: [[ 165 243] [ 215 1835]] The best model was also used to classify CAS antiviral database compounds for hERG channel inhibitory activity and a list of compounds with cardiotoxicity potential was being generated in the form of .csv file.
uttkarshparmar50 / LIBRARY MANAGEMENT SYSTEM L I B R A 1-Project Title “Library Management System (L_I_B_R_A)” The “Library Management System” has been developed to override the problems prevailing in the practicing manual system. This software is supported to eliminate and in some cases reduce the hardship faced by this existing system. Moreover this system is designed for the particular need of the institution to carry out operating in a smooth and effective manner. 2-Domain Library management institutional management non-profitable organization. 3-Problem of Statement In our existing system all the transaction of books are done manually, so taking more time for a transaction like borrowing a book or returning a book and also for searching of member and books. Another major disadvantage is that to preparing the list of book borrowed and the available book in the library will take more time, currently it is doing as a day process for verifying all records. So after conducting he feasibility study we decided to make the manual library management system to be computerised. Proposed system is an automated library management system. Through our software user can add member, edit information, borrow and return books in quick time. Some of the problems being faced in faced in manual system are as follows: • Fast report generation is not possible. • Tracing a book is difficult. • Information about issue/return of the books is not properly maintained. • No central database can be created as information is not available in database. All the manual difficulty in managing the Library have been rectified by implementing computerization. This application is reduced as much as possible to avoid errors while entering the data. It also provides error message while entering invalid data. No, formal knowledge is needed for the user to use this system. Thus by this all it is user-friendly. Library Management System as described above can lead error free, secure, reliable and fast management system. It can assist the user to concentrate on other activities rather to concentrate on the record keeping. Thus it will help organisation in better utilization of resources. So that’s why I can choose this topic to make it simple. is a sub-discipline of issues faced by libraries and library management professionals. Library management encompasses normal managerial tasks, as well as intellectual that focuses on specific freedom and fundraising responsibilities. Issues faced in library management frequently overlap with those faced in managing Title: L_I_B_R_A Page 5 of 16 TMU-CCSIT Version 1. 4-Project Description The software to be produced is on Library Management System. A library card will also be provided to the customers who visit daily. A person can also borrow the book for particular days. All the information will be entered in the system. If the person doesn’t return the due book. Admin has the authority to add, delete or modify the details of the book available to/from the system. He also has the authority to provide username and password for the receptionist. He can also add the details of the book purchased from shops along with the shop name. Project plan Requirement Design Process description implementation STATE DIAGRAM : LIBRARIAN OBJECT Title: L_I_B_R_A Page 6 of 16 TMU-CCSIT Version 1. 4.1-Scope of the Work This project is helpful to track all the book and library information and to rate the maximum number of books, the students wished to allot books. The software will be able to handle all the necessary information related to the library. From a librarian perspective, the Library Management System Project enhanced searchable database for the search books, managing library members, issuing and receiving books . • Search Books, Managing Library Members, Issuing and Receiving Books: An enhanced atomized system is developed to maintain Books, Authors, Issuing and Receiving Books and maintain the history of transaction. • To utilize resources in an efficient manner by increasing their productivity through automation. • It satisfies the user requirement. Title: L_I_B_R_A Page 7 of 16 TMU-CCSIT Version 1. 4.2-Project Modules • Books: This module consist the details of the books available in library and their categories. Title: L_I_B_R_A Page 8 of 16 TMU-CCSIT Version 1. • Member Account details To issue an book from the library, one should have a account in the library. The registration contains all the details about the member like registration number, name, address, contact number etc.. • Book Request: This module is used by the member to request a book from the library. The search can be performed by using name of the book, author name, and subject name. Title: L_I_B_R_A Page 9 of 16 TMU-CCSIT Version 1. • Issue of books: This module is used by the librarian to issue a book based on the request made by the members. • Returning Books: In this module the librarian maintains the details of the books returned by the member, which also includes the fine details, damage book details, lost book details. • History: In this module the member can view the details about the previous issued books, requested books and returned books etc. • Reports: This module includes the details about the issued books, returned books, member reports, fine reports, or any damage to the book or details of the book which are not returned. Title: L_I_B_R_A Page 10 of 16 TMU-CCSIT Version 1. 5-Implementation Methodology In this I am trying to give an Idea of “How I can implement the library management system” . FUNCTIONAL DECOMPOSITION OF LIBRARY MANAGEMENT SYSTEM CLASS DIAGRAM OF LIBRARY MANAGEMENT SYSTEM Title: L_I_B_R_A Page 11 of 16 TMU-CCSIT Version 1. DFD OF LIBRARY MANAGEMENT SYSTEM ER DIAGRAM OF LIBRARY MANAGEMENT SYSYTEM Title: L_I_B_R_A Page 12 of 16 TMU-CCSIT Version 1. DATABASE OF LIBRARY MANAGEMENT SYSTEM Title: L_I_B_R_A Page 13 of 16 TMU-CCSIT Version 1. 6-Technologies to be used 6.1 -Software Platform a) Front-end ----python (3.8) ----tk-inter (GUI) b) Back-end -----sqlite (database) 6.2 -Hardware Platform RAM — 8 GB Hard Disk — not used OS — Mac OS (Mojave-10.14.6) Editor — idle (Available with python package) Processor — 1.8 GHz intel core i5 6.3 -Tools No tool used. 7-Advantages of this Project Our proposed system has the following advantages. User friendly interface Fast access to database Less error More storage capacity Search facility Look and feel environment Quick transaction 8-Future Scope and further enhancement of the Project o In future we can make this application online so that members will be able to search the book from any places as well as can send book request. o Book reading facility can be provided through on-line. o In the area of data security and system security. o Provide more online tips and help. o Implementation of ISBN BAR code reader Title: L_I_B_R_A Page 14 of 16 TMU-CCSIT Version 1. 9-Project Repository Location S# Project Artifacts (softcopy) Location Verified by Project Guide Verified by Lab In-Charge 1. Project Synopsis Report (Final Version) https://s.docworkspace.com/d/AEsSC- 7eqLpR6Z6S_OSdFA Tushar mehrotra Name and Signature 2. Project Progress updates Name and Signature Name and Signature 3. Project Requirement specifications Name and Signature Name and Signature 4. Project Report (Final Version) Name and Signature Name and Signature 5. Test Repository Name and Signature Name and Signature 6. Any other document, give details Name and Signature Name and Signature 10-Team Details Project Name Course Name Student ID Student Name Role Signature LIBRARY MANAGEMENT SYSTEM INDUSTRIAL TRAINING(PYTHON) (ECS 509) TCA1809026 UTTKARSH PARMAR Developer 11-Conclusion “Library Management System” allows the user to store the book details and the customer details. This software package allows storing the details of all the data related to library. The system is strong enough to withstand regressive yearly operations under conditions where the Title: L_I_B_R_A Page 15 of 16 TMU-CCSIT Version 1. database is maintained and cleared over a certain time of span. The implementation of the system in the organization will considerably reduce data entry, time and also provide readily calculated reports. 12-References • Website http://www.wikipedia.com http://www.sololearn.com And also my mentor from Ducat (Noida) • Book Python-basic-handbook ( writer- vivek Krishnamoorthy, jay Parmar, mario pisa pena)
jsm28 / IMOLeanSuggested conventions and examples for Lean formalization of IMO problem statements
