♻️ EcoBin - Smart Garbage Management System

🌍 Project Overview

EcoBin is an IoT-based innovative solution aimed at revolutionizing waste management practices. The system provides real-time monitoring of garbage bin fill levels, optimizing waste collection routes, reducing operational costs, and minimizing environmental impact. With real-time data, EcoBin helps municipalities and businesses efficiently manage waste disposal and implement smart garbage collection.

📂 Project Repositories

🌐 Web Application (Developed by Menath Nadungoda): EcoBin Website Repository
📱 Mobile Application (Developed by Praveen Dilshan Rosa & Thishmi Amaya): EcoBin Mobile Application Repository
🔌 IoT Devices Integration (Developed by Thushara Dilruksha): IoT Devices Repository

👥 Team Members

Menath Nadungoda (Web Application Development)
Praveen Dilshan Rosa (Mobile Application Development)
Thishmi Amaya (Mobile Application Development)
Thushara Dilruksha (IoT Devices Integration)

Project Title

EcoBin - Smart Garbage Management System

🚩 Problem Statement

We identified several problems in traditional waste management systems:

Inefficient waste management leading to environmental damage.
Lack of real-time data on bin fill levels for optimizing collection routes.
High operational costs due to unnecessary pickups and inefficient routes.
Low recycling rates and inadequate data on waste generation.
Unreliable service with missed pickups or overflowing bins, causing pollution and sanitary issues.

🎯 Objectives

EcoBin addresses these challenges with the following objectives:

Efficient Garbage Sorting: Automates the sorting of waste based on sensor detection.
Optimized Collection Routes: Real-time fill level data enables dynamic route planning.
Improved Service: Timely alerts prevent overflowing bins, improving sanitation.
Cost Reduction: Optimized routes reduce fuel consumption, trucks, and manpower.
Data-Driven Insights: Analyze waste generation patterns to optimize waste management.
Environmental Impact: Reduced greenhouse gas emissions through efficient operations.
User Engagement: Notify users about nearby available garbage bins via the mobile app.
Reporting & Analytics: Provide reports for administrators and users on waste disposal patterns.

🚀 Key Features

Real-Time Bin Monitoring: Sensors in the bins provide real-time data on fill levels.
Automated Waste Sorting: Intelligent system sorts waste into paper, plastic, metal, etc.
Optimized Collection Routes: Trucks are directed to pick up only full bins, saving fuel and reducing emissions.
Mobile and Web Accessibility: Monitor bin levels, locate nearby bins, and manage waste disposal via web and mobile apps.
User Notifications: Mobile notifications inform users when their bins will be emptied.
Reporting and Analytics: Weekly or monthly reports are generated for users and administrators.

📜 Functional Requirements

User login and logout
Automated waste sorting
Real-time bin fill level monitoring
Dynamic route optimization for collection trucks
Mobile app for locating nearby bins and receiving notifications
Historical data access for users and admins

📊 Non-Functional Requirements

High accuracy and reliability in waste sorting and monitoring
Scalability to handle various bin sizes and types
Power efficiency to minimize energy consumption
Secure access control and data protection
Usability with minimal training required
Cost-effective and environmentally friendly design
Accessibility features to accommodate all users

🛠️ Tech Stack

Frontend: React.js for web interface development.
Backend: Firebase for data storage, authentication, and real-time updates.
Mobile: Flutter framework for mobile applications.
IoT: Arduino and ESP32 for sensor-based bin monitoring.
Tools: Visual Studio Code, Firebase Console, Arduino IDE.

🛠️ Hardware Requirements

Intel(R) Core™ i5 – 6200U CPU @ 2.3GHz
8.00 GB RAM
Sensors, ESP 32 devices
Internet connection and mobile devices (Android/iOS)

💻 Software Requirements

Visual Studio Code
Firebase
React.js (Web Development)
Flutter (Mobile Development)
Arduino IDE (IoT Development)

🌟 System Design

EcoBin leverages cutting-edge technology to create a seamless waste management experience:

Smart Waste Classification: Automatically sorts waste into categories like paper, metal, and plastic.
Real-Time Bin Updates: Receive instant notifications about bin levels and nearby empty bins.
Efficient Route Planning: Optimize waste collection routes to save time and reduce costs.

🏗️ Project Structure

The project follows a standard React.js structure:

EcoBin_Website/
│
├── public/             # Static files
├── src/                # Application source code
│   ├── components/     # Reusable components
│   ├── pages/          # Page components
│   └── App.js          # Main application component
│
├── .gitignore          # Files to be ignored by Git
├── package.json        # Project dependencies and scripts
├── README.md           # Project documentation
└── ...                 # Other configuration files

🌍 EcoBin | 💻 Web Application | 🚀 Run The Project

🚀 Getting Started

Follow the steps below to set up and run the project locally after cloning the repository.

🛠️ Prerequisites

Before you begin, ensure you have met the following requirements:

Node.js (v12 or later) installed on your machine.
npm (comes with Node.js) or yarn installed as the package manager.
A code editor (such as Visual Studio Code).

🛠️ Installation

1. 📥 Clone the Repository

To clone the EcoBin project, open your terminal and run:

git clone git@github.com:MenathNDGD/EcoBin_Website.git

cd EcoBin_Website

2. 📦 Install Dependencies

To install the necessary project dependencies, run:

npm install

This will install all the packages listed in the package.json file.

🌐 Running the Website

1. 🚀 Start the Development Server

After the installation, you can start the React development server by running:

npm start

This will launch the development server, and you can view the application by visiting:

http://localhost:3000

The website should now be running locally. If the port 3000 is already in use, you may be prompted to use another port (e.g., 3001).

2. 📈 Build for Production

To create an optimized production build of the website, run:

npm run build

npm start

This will bundle the app into static files in the build directory, which you can then deploy to any static hosting service.

📝 Breakdown of Steps:

Clone the Repository: The instructions guide users to clone the repository and navigate into the project directory.
Install Dependencies: Users are directed to install the necessary project dependencies via npm install.
Run the Website: The instructions detail how to start the local development server using npm start and view the website at http://localhost:3000.
Build for Production: Users are shown how to generate a production build with npm run build.

This README.md should serve as a clear guide for anyone looking to run the website locally.

📬 Contact Us

For more information about the project, feel free to contact the development team.

MenathNDGD/EcoBin_Website