Project aim is to try building a web scraping library that uses OCR, an LLM and some automation scripts to retrieve data from highly protected websites without API’s.

This project aims to develop an AI-powered system that predicts the most cost-effective locations for users to book flights, ensuring they can access the cheapest possible prices. The project aims to generate a rich dataset generated through various web scraping techniques, querying flight data and prices from various locations. Utilizing a machine learning model, the system analyzes this comprehensive dataset to suggest optimal booking locations and predict potential savings for a user given a query.