Eco Scan – AI-Based Waste Classifier with Analytics Dashboard

An AI-powered web application that classifies waste from images, provides an Eco Score, and displays analytics for user progress and environmental impact tracking.

Tech Stack

• Frontend: React (Vite) + Tailwind CSS + Recharts
• Backend: Node.js + Express + MongoDB
• AI Service: Python + Flask

Setup Instructions

Prerequisites

• Node.js installed
• Python 3.8+ installed
• MongoDB installed and running locally on mongodb://127.0.0.1:27017/ecoscan

1. AI Service (Flask)

1. Open terminal and navigate to ai-model directory.
2. Install dependencies: pip install -r requirements.txt
3. Run the service: python app.py
4. The service will run on http://localhost:5000

2. Backend Server (Node.js)

1. Open terminal and navigate to server directory.
2. Install dependencies: npm install
3. Run the server: node server.js
4. The server will run on http://localhost:5001

3. Frontend (React)

1. Open terminal and navigate to client directory.
2. Install dependencies: npm install
3. Run the development server: npm run dev
4. Open your browser and go to the provided Vite URL (usually http://localhost:5173)

Features

• Upload waste images or use webcam
• AI classification of Waste (Mock service included for development)
• Eco Score calculation and level gamification
• Dashboard showing analytics with Recharts
• Scan history tracking