chater-marzougui/Cleaner-Tunisia-56-SupCom

our submission for TSYP12, RAS PES SIGHT Challenge [![Contributors][contributors-shield]][contributors-url] [![Forks][forks-shield]][forks-url] [![Stargazers][stars-shield]][stars-url] [![Issues][issues-shield]][issues-url] [![LinkedIn][linkedin-shield]](linkedin.com) Cleaner Tunisia 56 - IEEE SubCom SB A comprehensive bipolar disorder management app designed to improve mental health and well-being. Report Bug · Request Feature # Cleaner Tunisia 56 A smart waste management solution submitted for the PEAS RAS SIGHT Challenge in TSYP12. The project consists of two autonomous robots (a mobile collector and a stationary sorter) working together to improve urban cleanliness and waste management efficiency. ## Project Overview Cleaner Tunisia 56 implements an innovative approach to urban waste management through: - A mobile collection robot that autonomously patrols streets and gathers litter - A stationary sorting robot that uses computer vision to classify and sort collected waste - A mobile application for real-time monitoring and status updates ## Repository Structure ``` ├── Collector Robot 3D model/ # 3D design files for the collection robot ├── Sorting Robot 3D model/ # 3D design files for the sorting station ├── Garbage_classification_code_for_raspberry/ # Classification code for Raspberry Pi ├── Mobile App/ │ ├── code/ # Source code for the mobile application │ └── app-release.apk # Compiled Android application └── Documentation/ # Technical documentation and diagrams ``` ## Components ### 1. Collection Robot - Solar-powered mobile robot for autonomous street cleaning - Features: - GPS navigation with OpenStreetMap integration - Obstacle avoidance using ultrasonic sensors - Real-time status reporting - Solar panel with sun-tracking mechanism - Automated waste collection system ### 2. Sorting Robot - Stationary waste sorting station with: - Computer vision-based waste classification - Convey …