Real-time tracking and predictive analytics for bus seat availability using Streamlit and PostgreSQL.
A Python-based seat availability predictor using historical data and machine learning algorithms.
Features
- Predicts seat availability for future dates
- Uses historical data to train a linear regression model
- Supports interactive visualization using Streamlit
Usage
Clone the repository: git clone https://github.com/golh30/seat-availability-predictor.git
Install dependencies:
pip install -r requirements.txt
Run the application: streamlit run main.py