This mobile application project focuses on leveraging data science techniques through a Python Flask backend and a Flutter frontend. The aim is to create an intuitive and interactive mobile application that demonstrates the power of data science in a user-friendly manner.
Data Visualization: Utilizes Python libraries like Matplotlib and Seaborn for visualizing data within the mobile app. Machine Learning Integration: Incorporates machine learning models using libraries such as Scikit-learn for predictive analytics. Flask API: Implements a Flask RESTful API to handle backend operations and serve data to the frontend. Flutter UI: Develops a responsive and engaging user interface using Flutter for seamless user interaction.
- User Signup and Signin
- Insert flight details (date, departure and arrival airports, flight name, no of hours, departure and arrival time)
- Outputs the predicted flight fares
- Outputs the suggesiton whether user should buy the tickets or not
- Also suggests which days teh fares will be reduced.