🚇 Metro AI – Intelligent Metro Ticketing & Analytics Platform

📌 Overview

Metro AI is an AI-powered intelligent metro ticketing and analytics platform designed to improve passenger experience, operational efficiency, and security in urban metro systems.

The platform combines machine learning, intelligent routing, fraud detection, QR-based ticketing, analytics, and AI-powered metro assistance to create a smarter metro ecosystem.

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🎯 Key Features

🎫 Smart QR Ticketing

• QR-based ticket generation
• Entry and exit gate validation
• Automatic journey distance calculation
• Travel time estimation
• Secure ticket verification

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🤖 Passenger Demand Prediction (V2)

Predicts station-level passenger demand using machine learning.

Features Used

• Station
• Hour of day
• Weather conditions
• Event factor
• Month
• Weekend indicator
• Weekday number
• Interchange station indicator

Outputs

• Predicted passenger count
• Current station load
• Crowd level (Low / Medium / High)

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🚨 Fraud Detection (V2)

Detects suspicious travel behavior using machine learning and backend validation.

Features Used

• Entry station
• Exit station
• Travel distance
• Expected travel time
• Actual travel time
• Travel ratio
• Time difference
• Interchange count
• Repeat usage

Outputs

• Fraud probability
• Alert status
• Fraud reason

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🧠 Metro AI Assistant

Gemini-powered metro assistant capable of:

• Route guidance
• Journey assistance
• Interchange navigation
• Platform guidance
• Bengaluru Metro support

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🗺️ Intelligent Route Engine

Supports:

• Direct journeys
• Single interchange journeys
• Double interchange journeys

Current interchange support:

• Nadaprabhu Kempegowda Station Majestic
• Rashtreeya Vidyalaya Road

Features:

• Route segmentation
• Distance calculation
• Journey time estimation
• Interchange detection

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📊 Analytics Dashboard

Provides operational insights including:

• Total tickets issued
• Fraud alerts
• Passenger demand analytics
• Top stations
• Fraud-prone stations
• Live prediction monitoring

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🧠 Machine Learning Pipeline

Demand Prediction

Feature Engineering

• Month
• Weekend indicator
• Weekday number
• Interchange station indicator

Algorithms Evaluated

• Random Forest Regressor
• Gradient Boosting Regressor
• Extra Trees Regressor
• XGBoost Regressor

Selected Model

• Gradient Boosting Regressor

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Fraud Detection

Feature Engineering

• Travel ratio
• Time difference
• Interchange count

Algorithms Evaluated

• Random Forest Classifier
• Gradient Boosting Classifier
• Extra Trees Classifier
• XGBoost Classifier

Selected Model

• Extra Trees Classifier

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🏗️ System Architecture

Frontend

• React.js
• Tailwind CSS
• React Router
• Recharts
• React Leaflet

Backend

• Node.js
• Express.js
• PostgreSQL

AI Service

• FastAPI
• Scikit-learn
• Pandas
• NumPy
• Joblib

AI Assistant

• Google Gemini

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📂 Project Structure

METRO/
│
├── Frontend/          
├── Backend/           
├── ai-service/        
├── database/          
├── datasets/          
├── docs/              
└── README.md

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⚙️ How to Run

1. Clone Repository

git clone <repository-url>
cd METRO

2. Backend Setup

cd Backend
npm install
npm run dev

3. Frontend Setup

cd Frontend
npm install
npm run dev

4. AI Service Setup

cd ai-service

pip install -r requirements.txt

uvicorn app.main:app --reload

5. Database Setup

Configure PostgreSQL and update environment variables before starting the backend.

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🔄 Core Workflows

Ticket Booking Flow

Passenger
   ↓
Book Ticket
   ↓
Demand Prediction
   ↓
QR Generation
   ↓
Ticket Issued

Fraud Detection Flow

Entry Scan
   ↓
Journey Tracking
   ↓
Exit Scan
   ↓
Fraud Detection Model
   ↓
Alert Generation

AI Assistant Flow

User Query
   ↓
Journey Context
   ↓
Gemini Processing
   ↓
Metro Guidance Response

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🚀 Metro AI V2 Highlights

• PostgreSQL Migration
• Enhanced Demand Prediction Pipeline
• Enhanced Fraud Detection Pipeline
• Feature Engineering & Model Benchmarking
• Intelligent Route Engine
• Gemini-Powered Metro Assistant
• Backend Optimization
• AI Service Integration
• End-to-End Prediction Pipeline
• Real-Time Analytics Dashboard