151 skills found · Page 2 of 6
rohitg00 / Time TravellerExperience any location across time with AI-powered visualization
SulemanKazi / AzanVisVisualize Azan locations around the world using kepler.gl and compute stats.
hackerjoe69 / IMEI TRACKERIMEI-Based Phone Tracker — proof-of-concept for collecting and visualizing device location metadata from lawful/consenting sources; NOT for unlawful tracking.
devbret / Geospy Api MappingA geolocation analysis and visualization tool which takes one or more images, sends them to the GeoSpy API for location prediction and presents the results interactively on a web-based map and data dashboard.
Ronit049 / BLINKIT Store Placement Prediction Project This is a real-world business use case, often tackled with data analysis, machine learning, and geospatial visualization. working on a store placement prediction project where the goal is to visualize and predict ideal locations for placing a new store, using a map generated on your system.
JaredHawkins / TweetGeoVizVisualization tool to view tweets by location and content.
abdallahkhairy / GP Data Analysis And MLHuman locomotion affects our daily living activities. Losing limbs or having neurological disorders with motor deficits could affect the quality of life. Gait analysis is a systematic study of human locomotion, which is defined as body movements through aerial, aquatic, or terrestrial space. This analysis has been used to study people ambulation, registration, and reconstruction of physical location and orientation of individual limbs used to quantify and characterize human locomotion using different gait parameters including gait activities such as walking, stairs ascending/descending, … etc., phases, and spatiotemporal parameters of human gait. Additionally, gait analysis parameters can be used to evaluate the functionality of patients and wearable system users. The evaluation is based on patient's stability, energy consumption, gait symmetry, ability to recover from perturbations, and ability to perform activities of daily living. Many companies develop assistive, wearable, and rehabilitation devices for patients with lower limb neurological disorders. These devices are tested and evaluated inside controlled lab environments. However, they don’t have enough data on the patient's performance in real world and harsh environments. Collecting large datasets of device users and their gait performance data in real environment are notoriously difficult. Additionally, collecting data on less prevalent or on gait activities other than level walking, stair ascending/descending, sitting, standing, …etc. on hard surfaces is rarely attempted. However, the scope for collecting gait data from alternative sources other than traditional gait labs could be attained with the help of IoT data collection embedded on the wearable and assistive devices and well-established cloud platforms equipped with big-data analytics and data visualization capabilities. This project aims to develop a cloud platform capable of collect data from wearable and assistive devices such as prostheses, exoskeleton, gait analysis wearable sensors, …etc. using IoT technologies. This platform is capable of automatically use data mining and visualization tools. Additionally, it uses statistical and machine learning techniques to estimate gait events, gait symmetry, gait speed, gait activities, stability, energy consumption, …etc. Also, it is capable of predicting patient's progress over time. The project will be composed of two major components, hardware component and software component. In hardware component, the students will design and implement the IoT that collects the different readings for gait analysis and send them to the cloud. Meanwhile, in the software component, the students will design and implement a set of algorithms to visualize the collected data, then design and implement data analytics to automatically analyze the collected data, so that we can estimate gait events, gait symmetry, gait speed, classify gait activities, stability, energy consumption, …etc. and predicting patient's progress over time. By analyzing the collected data, the patient's progress can be predicted over time. Additionally, these data can be used through manufacturers of prostheses legs to improve their products, as well as through health-care centers to assess the patient's performance. The following figures describe the main modules of our graduation project.
zentralwerkstatt / LocbookMinimalist Owntracks HTTP server with Google location data import and Leaflet visualization
raleighlittles / Snapchat Chats And Location AnalyzerA Python script for parsing your chat history and visualizing your location history on Snapchat
blacklight / GpstrackerA mobile-friendly web application to store and visualize your self-hosted location data.
aadimator / KhojiLocation tracking and visualization using Augmented Reality
jtpio / Music GlobeVisualize artists events locations on a globe
utcompling / FieldspringA system for disambiguating toponyms (placenames) given textual context and creating visualizations of the locations referenced in a given text or corpus.
ahoendgen / Airtag LocatorParse, store & visualize Apple's "Find My" App data with an easy to use web interface for device location
sfcta / TncstodayTool for visualizing the estimate of number of TNC (Uber and Lyft) pickups and dropoffs in San Francisco—by location and by time of day.
jordanmalecki / OnemapAggregate and visualize OneWheel ride data with Python. Filter and plot rides based on location, enhance your OneWheel experience. Enjoy life.
common-nighthawk / Where Are You Going Where Have You Beentransforms location history into a data visualization map
brendannee / Whereisbart.comVisualization showing realtime locations of BART trains
iris-edu / GmvThe Python code for the IRIS DMC's Ground Motion Visualization (GMV) data product. GMV is a video-based IRIS DMC data product that illustrates how seismic waves travel away from an earthquake location by animating the normalized recorded wave amplitudes at each seismometer location using colored markers.
maiconn / TccThe application has been developed to inform possible mechanical failure or theft in the vehicle. It has as main objectives, to visualize the current location of the car, to obtain images and to make available the data of its On-Board Diagnostic (OBD) port.
