This project showcases a web application that scrapes flight data, identifies the cheapest routes, predicts future prices and displays the results on a website that is refreshed daily.

• Scrape flight data from major domestic flight companies in India.
• Identify the cheapest flight routes for the current day.
• Predict flight prices for next 3 days.
• Display results on a website with daily updates.

1. Clone the repository:

   git clone
   https://github.com/biplobgon/flight-price-predictor.git
   cd
   flight-price-predictor
   

2. Install dependencies:

   pip install -r
   requirements.txt
   

3. Run the application:

   python app.py
   

• visit http://localhost:5000 to view the application
• The cheapest flight routes and predicted prices will be displayed on the homepage.

Hello! I'm Biplob Gon.

A business-critical data scientist with 3+ years of experience, bolstered by a Master's degree in Statistics. I'm proficient in the design, development, and deployment of cloud-based, data-driven AI solutions across the e-commerce domain. I have expertise in Marketing Mix Modeling (MMM) & cutting- edge NLP techniques such as Sentiment Analysis & Text Summary. I've a proven track record of collaborative problem-solving and continuous technical development.

Feel free to join me to make this world a better place by solving real-life problems using AI!

You can view my resume here at - Biplob_Gon_Data_Scientist_Resume.pdf

This project is licensed under the MIT License - see the LICENSE file for details.