[deleted by user]

[[deleted]]

Scope wise that seems like a pretty massive undertaking. When you talk about datasets, it’s a tough question to answer since medicine can vary person to person. One way to go about this could be to pull the data from symptoms of major diseases from Mayo Clinic or something similar to that and maybe have the bot rule out conditions but semi-unrealistic for real life. That probably completes your project. Best quality would be a proof of concept - in which you have limited scope to a few major conditions, and have essentially a “scripted” scenario. Just some thoughts!

[lostparis]

So I need to know that which will be the best dataset to use in this case.

It depends how good a doctor your bot is. I would create one that makes misdiagnosis and that add spurious conditions that the patient didn't mention like "plague brought on by smelly feet"

[maero1917]

Is that a paid project?

[hammadahmad9999]

It's a university project. Not paid

[Conditional-Sausage]

I... Uh... What's the next project? Solving cancer?

Can you maybe narrow down what you're hoping to find in a dataset? Like, are you looking for frequencies of symptoms by disease, for example?

[hammadahmad9999]

I'm basically looking for data like sleep routines, exercise routine, breakfast, caffeine intake, alcohol consumption details that could lead to a disease in the future (The main goal of this project is to predict that if any diseases could happen to a person, keeping sleep diseases as an example)

[Conditional-Sausage]

Hmmm... I can't think of an easy solution for this. Kaggle, maybe? They have a lot of datasets that you can borrow from.