AI-powered waste sorting system with YOLO, PySide6 desktop control, Next.js dashboard, UART/Arduino hardware bridge, Supabase and EcoPet AI.
I built a waste sorting robot alongside my team members for the DESN1000 ELEC stream source. It functions as outlined in the README and the Final Report.
Accelerator-Enhanced Intelligent Waste Sorting with Robotic Hand Simulation
IoT-based smart waste sorter using ESP32 — auto-classifies wet, dry and metal waste with ThingSpeak cloud monitoring
End-to-end implementation of "ReSort-AI: Recycling Sorting Automation with AI Vision System", released for reproducibility and reusability.
ESP32-based smart waste sorting bin with IR and capacitive sensors, servo flap control, and a built-in Wi-Fi dashboard for manual and automatic sorting.
AMP’s AI-driven waste sorting solutions help optimize material recovery and recycling processes.
KI-gestützte Mülltrennung über deine Webcam / AI-driven trash sorting through your webcam - Lite-Version meines Jugend forscht-Siegerprojekts SortiMate, ohne zusätzliche Hardware
垃圾分类识别Web应用，上传垃圾图片自动识别6大类别（纸类/纸板/塑料/玻璃/金属/其他），采用MobileNetV2提取特征+SVM分类，Flask部署
AI-powered waste sorting bin using computer vision and edge AI — VCE Systems Engineering 3&4 SAT
AI miniprogram for waste sorting
This is a concept for an AI-powered waste sorting station, that helps people to sort waste, using recycled e-waste parts
YOLOv8-based household waste detection with a Streamlit app for image and video inference.
Multimodal recyclable garbage classification (RGB/depth + audio) with dataset/annotation utilities and prediction scripts.
Autonomous waste sorting simulation using ROS, Gazebo, and OpenCV with a hybrid C++/Python architecture
React/Vite EcoSort mock-up for an AI-assisted garbage sorting app with scanning, disposal advice, maps, and rewards.
The goal of this project is to create a perception-tomanipulation pipeline using ROS2 for an autonomous waste sorting system with the assistance of a simulated delta robot arm (IRB360) in CoppeliaSim
AI-powered educational platform for waste sorting developed at Magdeburg-Stendal University of Applied Sciences as part of the SMART TRASH Pillar 2 research project.
Jupyter Notebook workspace for transfer learning trash classification models.
LifeZen App Store support: AI-assisted waste-sorting guidance for Germany.
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