A machine learning web application that predicts the price of a flight ticket based on user inputs such as source, destination, airline, departure time, and more.
- Predicts flight prices using ML models
- User-friendly web interface (using Flask / Streamlit)
- Preprocessed and cleaned dataset
- Model training and evaluation
- Deployed using (Heroku / Render / Streamlit Cloud / etc.)
- Programming Language: Python
- Machine Learning: scikit-learn, pandas, numpy
- Web Framework: Flask / Streamlit
- Visualization: matplotlib, seaborn
- Deployment: Streamlit Cloud