WasteAI
WasteAI is an open-source project originally derived from "Zero to Hero." This repository provides tools and resources for waste management, classification, and AI-driven sustainability solutions. The goal of WasteAI is to leverage machine learning and AI to optimize waste management processes, enhance recycling efficiency, and promote environmental sustainability.
📌 Features
🧠 AI-Powered Waste Classification - Uses machine learning models to classify different types of waste.
♻️ Recycling Optimization - Suggests the best recycling or disposal methods for each classified item.
🌎 Sustainability Metrics - Tracks waste reduction and sustainability impact.
🚀 API Integration - Provides endpoints for integrating waste classification into third-party applications.
📊 Data Visualization - Displays analytics and insights on waste processing trends.
🏗️ Installation
To get started with WasteAI, follow these steps:
- Clone the Repository
git clone https://github.com/<YOUR_USERNAME>/WasteAI.git cd WasteAI
- Install Dependencies
Ensure you have Python and pip installed, then run:
pip install -r requirements.txt
- Run the Application
python app.py
🚀 Usage Guide
- Classify Waste Items
You can classify waste items by providing an image or text description. Example API call:
curl -X POST "http://localhost:5000/classify" 2. Retrieve Recycling Suggestions
curl -X GET "http://localhost:5000/recommendations?item=plastic_bottle"
- View Sustainability Metrics
curl -X GET "http://localhost:5000/metrics"
🏗️ Technologies Used
Python - Core programming language
Flask - Backend API framework
TensorFlow/PyTorch - Machine learning for waste classification
OpenCV - Image processing
PostgreSQL - Database for waste tracking
Docker - Containerized deployment