Waste-Management

BinGO – Smart Waste Management

Overview

BinGO is a practical, scalable waste management system designed to keep cities cleaner by combining community-driven reporting, sensor-based detection, and AI-powered scheduling.

Traditional waste collection follows rigid schedules, leading to wasted resources and overflowing bins. BinGO optimizes waste collection by ensuring timely pickups where they are actually needed, reducing inefficiencies and improving urban sanitation.

Tech Stack

Frontend

• React.js – for building interactive user interfaces
• Tailwind CSS – for utility-first, responsive styling

Backend

• Node.js – for server-side logic
• Express.js – for handling HTTP requests and routing
• MongoDB – for efficient and scalable data storage

Additional Technologies

• Machine Learning – for optimized scheduling and predictive analytics
• Sensors Integration – for real-time bin status updates
• OpenStreetMap API – for location mapping and geospatial visualization

Features

1. User Reporting System

• Residents can report overflowing waste bins by submitting a photo.
• Reports are verified and automatically added to waste collectors' routes.

2. Sensor-Based Detection

• Smart sensors monitor bin levels and trigger automatic pickup requests when bins are full.
• This ensures collection is based on actual waste levels, reducing unnecessary trips.

3. Admin Panel

• Admins can view reports, monitor sensor data, and manage collection routes.
• A visual dashboard provides insights into waste conditions across the city.

4. ML-Based Scheduling

• Predicts optimal waste collection schedules based on historical data.
• Helps in planning waste pickup for areas without active reports or sensor data.

5. Nearest Bin Locator

• A feature that helps users find the closest available waste bin, reducing littering.

Installation & Setup

1. Clone the Repository

git clone https://github.com/sayalee16/Waste-Management.git  
cd Waste-Management  

2. Backend Setup

cd server  
npm install  
npm start  

3. Frontend Setup

cd client  
npm install  
npm start  

Usage

1. Users report overflowing bins with photos.
2. Sensors detect waste levels and trigger pickups.
3. Admins monitor and optimize collection routes using a dashboard.
4. ML-based scheduling predicts optimal pickup timings.
5. Nearest bin locator helps citizens dispose of waste properly.

What Makes BinGO Unique?

• Community-powered reporting ensures bins without sensors are still monitored.
• Smart sensors detect waste levels in real-time, reducing unnecessary collection trips.
• Machine learning optimizes scheduling for efficient waste management.
• A hybrid approach bridges the gap between manual reports and automated detection.