A web Application for Flight Ticket Prediction and also various user-end features(flight schedules, and Airport heat index, etc).

Analyze and Predict the Flight Price Using Machine Learning Models and Plotly Library

A machine‑learning‑based project that trains a model on historical flight data to predict ticket prices and exposes that model via a REST API. It includes data pipelines, model training, API endpoints for inference, and supporting code

Monitor flight price fluctuations like a PRO! This repo helps you in retrieving price on a regular basis for a certain known flight.

MyFlightPrice is a Flask web app which can predict your flight price based on the required information.

Predicting the prices of flights

Developed a Machine learning model using Scikit learn Random Forest Regressor which will predict flight fare for certain cities.

In this project we will predict flight prices using a lot of data preprocessing and then create a GUI using Tkinter that displays the predicted price based on the inputs given by the user

web project on flightprice prediction

Flight Price Prediction App is an interactive Streamlit web application that leverages a trained scikit-learn regression model to predict airline ticket prices in real time based on factors like airline, route, travel class, stops, duration, and days to departure.