GreenPulse – Smart Waste Management System

Revolutionizing waste collection with IoT and AI-driven route optimization

Table of Contents

• About the Project
• Features
• Solution Architecture
• Tech Stack

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About the Project

GreenPulse is a smart waste management system designed to optimize garbage collection using IoT sensors, real-time monitoring, and route optimization. The system includes a mobile app for bin users, a web dashboard for garbage collectors, and a mobile app for collection truck drivers to streamline operations.

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Features

Bin Status & Maintenance Monitoring

• Bin owners can monitor fill levels and maintenance needs.
• Garbage collectors get alerts for bin maintenance.
• AI-based garbage segregation using image processing.

Garbage Collection Route Optimization

• Route optimization for collection trucks.
• Web dashboard for route monitoring.
• IoT sensors send bin status updates in real-time.

Collection Truck App

• Truck drivers receive optimized collection routes.
• Real-time route updates via mobile app.

Admin Dashboard for Bin Sellers & Management

• Bin sellers (garbage collectors) can monitor bin inventory.
• Manage and track garbage collection process.

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Solution Architecture

IoT Devices (Smart Bins)

• Sensors detect bin fill levels & blockages.
• Sends data to AWS IoT Core via MQTT.

Backend (Spring Boot)

• Processes IoT data & manages user roles.
• AI-based route optimization algorithm.

Web & Mobile Apps

• Web app for garbage collectors (React).
• Mobile app for bin users & truck drivers (Flutter).

Cloud & DevOps

• AWS IoT Core for MQTT messaging.
• AWS EC2 & S3 for hosting.
• GitHub Actions for CI/CD automation.

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Tech Stack

Component	Technology
Frontend	React (Web), Flutter (Mobile)
Backend	Spring Boot, JWT Authentication
IoT	Raspberry 3B+, AWS IoT Core (MQTT)
AI/ML	Image Processing (Garbage Sorting)
Cloud	AWS EC2, AWS S3, Amazon RDS
DevOps	Docker, GitHub Actions (CI/CD)