SaurabhBadole / Flight_Fare_Prediction

Flight Fare Prediction

Welcome to the Flight Fare Prediction project! ✈️ This project uses machine learning to predict flight fares based on various factors. Whether you're a traveler planning your next adventure or an enthusiast exploring data science, this project takes you on a journey through the skies.

Project Overview

• Objective: Predict flight fares using machine learning techniques.
• Tech Stack: Python, Flask, Scikit-Learn, AWS
• Dataset: Link to Dataset

Features

• Machine Learning Models: Trained models for accurate fare predictions.
• Interactive Web App: Explore and predict flight fares with a user-friendly interface.
• AWS Deployment: Accessible globally with cloud deployment.

Getting Started

• Clone the repository: git clone https://github.com/Ritika-02/Flight_Fare_Prediction.git
• Navigate to the project directory: cd Flight_Fare_Prediction
• Set up a virtual environment: python -m venv venv
• Activate the virtual environment: source venv/bin/activate (Linux) or venv\Scripts\activate (Windows)
• Install dependencies: pip install -r requirements.txt
• Run the app: python app.py

Feel free to contribute, raise issues, and enhance the project. Happy flying! ✈️