- The pretrained folder contains "recom4.h5" which is used to provide recommendation
- It also contains "gen_model.py" which contains the necessary code to design and train the model
- User makes a search query
- It hits an api ('search/')
- The string is sent to the model
- model generates a recommendation and user sees it on the frontend.

