I don’t know where should I put this but if I am wrong please guide me(happy to be schooled here). I am currently building an app for my last year undergrad CS program. This app need a ML model(I guess), let me explain what our app’s ML model should be able to do.
- take in packaged food product ingredient list as input.
- process the input and find out how much or what amount of what ingredients are present in the product.
- based on that processed data be able to rate the product(like a NutriScore system in the EU) and also flag out if any harmful substance is found.
Now the current situation is we have made the required frontend and integrated a OCR to extract text(ingredient list) from the product. And we are currently working on the backend and database part(should be finished by 1 week or 2). Now I am tasked to figure out the model situation(I was the one who purposed this project idea but I don’t know a thing about it), before the database and backend gets finished I should have a model trained for the app. Now from scratch what things I need to learn and can avoid for now as per my requirements. PLEASE HELP ME OUT!!!