The motive of this project is to utilize any technology available to improve categorization on bank transactions. I believe the categorization which major bank provides is not as detailed and when graphing spending trend, it will obscure the graph, if the ground is not set correctly. This project is solely for personal use to learn ML and statistical analysis.
Method 1. Use scikit learn with MultinomilaNB to predict. The data given is from credit card statement which comes with already given categories. Not viable option, but want to improve on it.
Method 2. Use LLM to predict the categories. TODO