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Merged
Manjushwarofficial merged 2 commits into from
Oct 25, 2025
Merged

Issue #171 : Updating README #175

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900afe1
Updating README
annuuxoxo Oct 24, 2025
78bd315
Updating README.md
annuuxoxo Oct 24, 2025
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62 changes: 31 additions & 31 deletions README.md
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Expand Up @@ -80,44 +80,44 @@ To create **smarter, more efficient, and commuter-friendly metro systems** that
- **Proactive congestion management**

### Target Users
- ** Commuters**: Plan optimal routes with AI-powered suggestions
- ** Metro Administrators**: Monitor and manage metro operations
- ** City Planners**: Analyze traffic patterns for infrastructure development
- ** Researchers**: Study urban mobility patterns and AI applications
- **Commuters**: Plan optimal routes with AI-powered suggestions
- **Metro Administrators**: Monitor and manage metro operations
- **City Planners**: Analyze traffic patterns for infrastructure development
- **Researchers**: Study urban mobility patterns and AI applications



## Key Features

### **Passenger Experience**
- ** Interactive Route Planning**: AI-powered route optimization with real-time updates
- ** Smart Timing**: Estimated arrival times with congestion-aware suggestions
- **� Multi-Platform Access**: Web, mobile-responsive, and voice-enabled interfaces
- ** Live Simulation**: Watch your journey unfold in real-time
- ** Congestion Heatmaps**: Visualize crowd levels across stations
- ** Fare Estimation**: Transparent pricing with distance-based calculations
- **Interactive Route Planning**: AI-powered route optimization with real-time updates
- **Smart Timing**: Estimated arrival times with congestion-aware suggestions
- **Multi-Platform Access**: Web, mobile-responsive, and voice-enabled interfaces
- **Live Simulation**: Watch your journey unfold in real-time
- **Congestion Heatmaps**: Visualize crowd levels across stations
- **Fare Estimation**: Transparent pricing with distance-based calculations

### **Administrative Dashboard**
- ** Real-time Analytics**: Live passenger flow monitoring across all stations
- ** AI Predictions**: Machine learning models for traffic forecasting
- ** Performance Metrics**: Comprehensive KPIs and operational insights
- ** Alert System**: Proactive notifications for congestion and delays
- ** Station Management**: Complete CRUD operations for metro stations
- ** Data Visualization**: Interactive charts and graphs for decision-making
- **Real-time Analytics**: Live passenger flow monitoring across all stations
- **AI Predictions**: Machine learning models for traffic forecasting
- **Performance Metrics**: Comprehensive KPIs and operational insights
- **Alert System**: Proactive notifications for congestion and delays
- **Station Management**: Complete CRUD operations for metro stations
- **Data Visualization**: Interactive charts and graphs for decision-making

### **Media & Communication**
- ** Photo Gallery**: Construction progress, events, and operations
- ** Video Content**: Project documentaries and promotional materials
- ** Press Releases**: Official announcements and updates
- ** Infographics**: Data visualizations and project statistics
- ** Multi-language Support**: English and Marathi interfaces
- **Photo Gallery**: Construction progress, events, and operations
- **Video Content**: Project documentaries and promotional materials
- **Press Releases**: Official announcements and updates
- **Infographics**: Data visualizations and project statistics
- **Multi-language Support**: English and Marathi interfaces

### **AI-Powered Intelligence**
- ** Passenger Flow Prediction**: Random Forest models for traffic forecasting
- ** Route Optimization**: Dijkstra's algorithm with real-time adjustments
- ** Congestion Analysis**: Heatmap visualizations with ML insights
- ** Time Series Forecasting**: Predictive analytics for capacity planning
- ** Pattern Recognition**: Identifying peak hours and usage trends
- **Passenger Flow Prediction**: Random Forest models for traffic forecasting
- **Route Optimization**: Dijkstra's algorithm with real-time adjustments
- **Congestion Analysis**: Heatmap visualizations with ML insights
- **Time Series Forecasting**: Predictive analytics for capacity planning
- **Pattern Recognition**: Identifying peak hours and usage trends



Expand Down Expand Up @@ -286,11 +286,11 @@ streamlit run fare_estimation.py
```

### **Access Points**
- ** Main Website**: `http://localhost:8000/landing/landing.html`
- ** Passenger Portal**: `http://localhost:8000/passenger/passenger.html`
- ** Admin Dashboard**: `http://localhost:8000/admin/admin.html`
- ** Media Center**: `http://localhost:8000/media/media.html`
- ** API Documentation**: `http://localhost:5000/docs` (FastAPI)
- **Main Website**: `http://localhost:8000/landing/landing.html`
- **Passenger Portal**: `http://localhost:8000/passenger/passenger.html`
- **Admin Dashboard**: `http://localhost:8000/admin/admin.html`
- **Media Center**: `http://localhost:8000/media/media.html`
- **API Documentation**: `http://localhost:5000/docs` (FastAPI)


## Project Structure
Expand Down