so i am a high school student and take part in lots of kaggle competition but the main problem i face is data cleaning especially for datasets above the size of 80 mb even claude or chatgpt have a limit of 30 mb, it takes at least 2-4 hours to clean a dataset and make it ML ready therefore to solve this problem i am developing an preprocessor that takes your messy CSVs and clean it according to the algorithm you will use XGboost, Regression and etc looking for your insights like is this actually useful and may work or i am overthinking.....

you can try the mvp

https://refineai-six.vercel.app