This project generates additional columns that are useful for a downstream classification algorithm. It use LLMs to do feature engineering by adding useful features and eliminating useless feature automatically, so that improve the performance of prediction.
User imports data, it tells user what data science tasks it can do such as; Data Cleaning, Exploratory Data Analysis (EDA), NLP like Tokenizing, Feature Engineering: develops model