✈️ Flight Price Prediction

This project is a machine learning web application that predicts flight ticket prices based on different flight details. The model is built using Random Forest Regressor and deployed using Streamlit Cloud.

🚀 Live App

Click here to use the application:

👉 https://flightpriceprediction-upr96k8bu8qzvegjh9lktq.streamlit.app/

📌 Project Overview

The application allows users to:

Upload the flight dataset

Train the model automatically

Enter flight details

Get predicted ticket price instantly

The project includes data preprocessing, feature engineering, model training, and deployment.

🛠️ Technologies Used

Python

Pandas

NumPy

Scikit-learn

Streamlit

🤖 Machine Learning Model

Random Forest Regressor

Data preprocessing and encoding

Train-test split validation

📂 Project Structure

Flight_Price_Prediction/

│

├── app.py

├── requirements.txt

├── Data_Train.xlsx

└── README.md

▶️ Run Locally

Clone the repository

Install dependencies

pip install -r requirements.txt

Run the app

streamlit run app.py

📊 Features

Data cleaning and preprocessing

Feature extraction from date and time

Categorical encoding

Model training inside app

Real-time price prediction

👨‍💻 Author

Developed as a machine learning project for flight price prediction.