Plastrack

A comprehensive waste management and infrastructure solution that uses AI to identify, classify, and suggest sustainable reuse of waste materials.

📖 Project Overview

Plastrack is an innovative solution addressing the global waste management crisis through technology. The project combines AI-powered waste identification with community engagement to:

• Identify waste materials with high accuracy using computer vision
• Suggest sustainable disposal methods appropriate for each waste type
• Map waste hotspots to help municipalities prioritize cleanup efforts
• Engage communities through gamification and educational content
• Connect waste generators with recycling facilities and upcycling opportunities

Our platform serves various stakeholders including individuals, waste management companies, municipalities, and environmental organizations.

📋 Technologies Used

Backend

• Runtime: Node.js + Bun
• Framework: Express.js
• Database: PostgreSQL
• ORM: Prisma
• AI Services: Google Cloud Vision API, Gemini AI
• Authentication: Firebase Auth
• Containerization: Docker
• Hosting: Google Cloud Run

Web Frontend

• Framework: Vue.js (Nuxt.js)
• Styling: Tailwind CSS v4.0.9
• State Management: Pinia
• Authentication: Firebase Auth
• Storage: Cloudinary
• Maps: Google Maps API
• Hosting: Google Cloud Run

Mobile App

• Framework: Flutter
• Authentication: Firebase Auth
• Maps: Google Maps Flutter
• Image Upload: Cloudinary
• Storage: Shared Preferences
• Location: Flutter Location
• UI Animation: Flutter Animate
• Analytics: Firebase Analytics

🚀 Features

• AI-powered Waste Identification: 90%+ accuracy in waste classification
• Infrastructure Suitability Analysis: Determine best reuse applications
• Waste Hotspot Mapping: Geographic visualization of waste concentration
• Community Gamification: Points system and leaderboard
• Cross-platform Access: Mobile app for on-site reporting, web interface for analysis
• Offline Functionality: Continue using the app without internet connection
• Multilingual Support: Available in English, Spanish, French, and German
• Detailed Analytics: Track waste patterns and community engagement
• Educational Content: Learn about proper waste disposal and recycling methods

🔧 Installation & Setup

Prerequisites

• Node.js 18+ and Bun runtime
• PostgreSQL database
• Firebase account
• Google Cloud account (for Vision API)
• Cloudinary account
• Flutter SDK (for mobile app)

Setup

git clone https://github.com/ayussh-2/plastrack.git

cd plastrack/server
# Install dependencies
bun install

# Set up environment variables
cp .env.example .env
# Fill in the required values in .env

# Run database migrations
bunx prisma migrate dev

# Start the development server
bun dev

Web Frontend Setup

# Navigate to the web directory
cd plastrack/web

# Install dependencies
bun install

# Set up environment variables
cp .env.example .env
# Fill in the required values in .env

# Start the development server
bun dev

Flutter Setup

# Navigate to the mobile directory
cd plastrack/mobile

# Install dependencies
flutter pub get

# Run the app in development mode
flutter run

📱 Usage Guide

• Register an account via the mobile app
• Report waste by taking a photo through the mobile app
• Review analysis of waste type and disposal recommendations
• Earn points for each verified waste report
• View hotspots on the interactive map
• Track your impact through the personal dashboard
• Compete with other users on the leaderboard

🏆 System Architecture

Our system follows a microservices architecture with three main components:

• API Server: Handles authentication, database operations, and business logic
• AI Service: Processes waste images and generates recommendations
• Client Applications: Web and mobile interfaces for user interaction

Check out our architecture diagram for more details.