Sorts recycling and trash using computer vision
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Updated
May 1, 2023 - Jupyter Notebook
Sorts recycling and trash using computer vision
Makaira is an optimized firmware for 3D printer filament-handling devices such as PET pultruders and filament joiners.
Recycling fails when different types of waste get mixed together. Manual sorting is slow and unhygienic, so a smart automated system is needed. RecycleVision is a deep learning based image classifier that identifies different types of waste and makes automatic segregation possible for smart bins and recycling plants.
End-to-end implementation of "ReSort-AI: Recycling Sorting Automation with AI Vision System", released for reproducibility and reusability.
Recycling System for cans and bottles written in Java.
Recycling Management and Settlement System
A Python Flask-based sustainable marketplace for buying and selling used items, promoting reuse and recycling.
An end-to-end computer vision pipeline using Ultralytics YOLO11 to automate multi-class plastic polymer sorting (PET, PE-HD, PP, PS) for recycling. Developed with a data parsing pipeline, optimised architectural scaling, and live interactive Gradio deployment on Hugging Face Spaces.
Waste sorter for recycling using AI
General Material Compactor: Product Development Course Project
A cross-platform mobile app built with React Native and Firebase to log, manage, and visualize recycling data.
Next.js web app with Tailwind CSS & Framer Motion for managing recycling services, solid & liquid waste collection. Responsive design, modular components, and smooth animations enhance user experience. Simplify waste management processes with this intuitive application.
A mobile app geared towards educating and empowering individuals about sustainable practices
This project uses annotated images of soles from the shoe to train the model with UNET architecture in order to obtain a mask with predicted sole outline and location
Recycling System for cans and bottles written in Java. Now with GUI!
Clasificador inteligente de residuos (cartón, papel y plástico) utilizando Machine Learning con Random Forest. Desarrollado en Python con una interfaz web interactiva implementada en Flask y diseñada con Tailwind CSS. Permite la ejecución local para la automatización de la separación de materiales reciclables.
Black Wings Hacks Project Submission
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