Skip to content

destined07/RevoWaste

Repository files navigation

Smart Waste Management System

A scalable, IoT-driven platform for efficient waste management that integrates smart bins, GPS-enabled trucks, cameras/sensors, AI-driven monitoring, citizen engagement apps, and backend analytics to enable cleaner, smarter cities.


🚀 Features

  • IoT Integration: Smart bins, cameras, and GPS-enabled trucks.
  • Citizen & Worker Apps: Mobile/web apps for reporting, tracking, and engagement.
  • Authority Dashboard: Real-time monitoring, compliance tracking, and decision support.
  • AI & Analytics: Waste classification, anomaly detection, and optimized routes.
  • Rewards & Training: Incentives for compliance and gamified citizen participation.
  • Scalable Cloud Backend: Centralized monitoring, analytics, and external facility integration.

📂 System Architecture

  • IoT Devices & Edge → Smart bins, trucks, sensors.
  • Communication Layer → IoT Gateway, REST/GraphQL APIs.
  • Backend Cloud → App server, monitoring & analytics, database, rewards & training modules.
  • Frontend Layer → Citizen mobile/web app, worker app, authority dashboard.
  • External Facilities → Recycling centers, scrap shops, waste-to-energy plants. 489151333-ccf3d0a7-a0a1-4cc4-b231-261208b77662

🛠️ Tech Stack

Frontend

  • Next.js (React-based framework)
  • TypeScript
  • TailwindCSS for UI styling

Backend

  • Node.js + Express.js
  • GraphQL / REST APIs
  • MongoDB / PostgreSQL (flexible for deployment needs)

IoT & AI

  • Arduino / Raspberry Pi for edge devices
  • TensorFlow / PyTorch for AI-based waste classification
  • OpenCV for image analysis

Cloud & Infrastructure

  • Docker for containerization
  • Kubernetes (optional for scaling)
  • AWS / GCP / Azure for hosting, storage, and monitoring

⚙️ Installation & Setup

  1. Clone the Repository
    git clone https://github.com/your-username/smart-waste-management.git
    cd smart-waste-management

About

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors

Languages