Welcome to the Swachhta and LiFE Dashboard repository—an innovative solution developed for SIH 2024. This project leverages AI, IoT integration, and modern web technologies to promote cleanliness and sustainable living practices

1. Project Overview
2. Features
3. Repository Structure
4. Technologies Used
5. Setup and Installation
6. Usage
7. Contributing
8. License

The Swachhta and LiFE Dashboard is designed to monitor, analyze, and maintain cleanliness and green practices in post offices. The project integrates AI-powered image processing and IoT-based waste detection to encourage sustainable living and environmental awareness.

This solution supports:

• AI-based waste detection.
• IoT device integration for real-time waste monitoring.
• Data analytics dashboard for performance insights.

• AI-Powered Waste Detection: Uses YOLO-based object detection to identify waste in images.
• IoT Integration: Real-time data from IoT devices to monitor cleanliness.
• Comprehensive Dashboard: An interactive interface built with modern frameworks to visualize data and insights.
• Modular Codebase: Organized into separate directories for backend, frontend, and AI models.

• React.js
• Next.js
• Chart.js (for data visualization)

• Node.js
• Express.js
• Flask (for AI model integration)

• YOLO (You Only Look Once) for object detection
• TensorFlow/Keras for model training

• Arduino
• MQTT Protocol

• Docker (for containerization)
• MongoDB and PostgreSQL (for database management)