Peter
PetFinder & PetCarer & PetAdopter
Install / Use
/learn @ozgurkara99/PeterREADME
<img alt="Flutter" src="https://img.shields.io/badge/Flutter%20-%2302569B.svg?&style=for-the-badge&logo=Flutter&logoColor=white" />
Peter
<img src="https://user-images.githubusercontent.com/69303698/161823151-ca05bec5-ba67-40e9-8b80-4e09f9c86447.png" width="96">Video Demo [YouTube]
About Peter
What would you do if your beloved pet ran away from home? Wander around the streets? Ask if anyone saw where your pet went? Hand out flyers? Thanks to our new app called “Peter”, you can find your pet with ease. All you have to do is to upload pictures of your pet and “Pet Finder” will compare these photos with other previously uploaded pets and show all the possible matches, using image segmentation and deep learning. You can also help the other owners by taking pictures of stray animals as you walk down the street. Helping the other owners which are looking for their lost pets will get you a discount on our merchandise in our store which you can find on our website.
Adopt a friend
Adopt a new pet, using “Pet Adopter”. Save the lives of many animals. Help the lost pets return to their warm homes to their worried owners. You can also contact your vet any time you like, to get information about the health of your beloved friend, vaccination dates, and so on.
Mobile App Installation
- Download required packages
flutter pub get - Run QRegister app
flutter run
Server Installation
- Create Conda Python environment using
conda create -n peter - Activate the environment
conda activate peter - Inside the environment, install requirements
pip install -r requirements.txt - Run
python peter_main.py - Enjoy ☕️
PetFinder & PetCarer & PetAdopter

Deep-Learning Model for Segmentation and Similarity Modules

Team Members
- Arda Ünver
- Deniz Karakay
- Ercihan Kara
- Nilay Pamuk
- Özgür Kara
Related Skills
node-connect
351.8kDiagnose OpenClaw node connection and pairing failures for Android, iOS, and macOS companion apps
frontend-design
110.9kCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
openai-whisper-api
351.8kTranscribe audio via OpenAI Audio Transcriptions API (Whisper).
qqbot-media
351.8kQQBot 富媒体收发能力。使用 <qqmedia> 标签,系统根据文件扩展名自动识别类型(图片/语音/视频/文件)。

