Route Radar is a transportation application for New York City, combining app development and machine learning to offer optimized routes and fare information across multiple modes of transportation.
- Multi-Modal Routes: Find optimized routes using bus, ferry, Citibike, subway, and rail.
- Real-Time Fare Estimates: Accurate rail fare predictions powered by machine learning.
- User-Friendly Interface: Intuitive interface for easy navigation and fare details.
- Customization: Tailor preferences for eco-friendly or fastest routes.
- Development: Built with Flutter and ML (Python).
- ML: Utilizes Random Forest model for fare prediction.
- Data: Public transportation data from https://www.kaggle.com/competitions/new-york-city-taxi-fare-prediction
- Expansion: Plan to extend the app to cover Mumbai and eventually other cities in India.
- New Features: Continuous development to introduce additional features and improvements.
- Clone the repository.
- Install dependencies.
- Run the application.
- API key is required to run some of the processes
- Open Route Radar.
- Enter start and end destinations.
- Explore suggested routes and fare estimates.
- Customize preferences if desired.
Contributions are welcome! Fork the repo, make changes, and submit a pull request.
For inquiries, contact Anagaha Mahajan armahajan_b22@it.vjti.ac.in Tanayaa Patil tvpatil_b22@it.vjti.ac.in Khadija KB kkzoher_b22@it.vjti.ac.in Shweta Kare srkare_b22@it.vjti.ac.in