CogniMed

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  Tavus private doctor

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  Architecture diagram

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  Upload functionality

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  Semantic Search

Inspiration

Effectiveness of AI has been widely studied and documented. Especially in medicine field AI is like shining star. Its capabilities allows everyone to get cheap, fast and correct diagnosis. Considering all these in mind CogniMed is all in one product.

What it does

Analysis user data, provides comprehensive information about the documents such as blood work, doctor prescription, x-ray. User can describe the symptoms and get analysis right away without waiting in queue or taking appointment.

*Here are some capabilities: *

• Face to Face AI video chatbot
• Text chat
• Process different variety of documents
• Semantic history search

Here are some example documents it can process :

How we built it

Used bolt.new mainly, additionally did some custom changes trained neural network for x-ray segmentation.

Challenges we ran into

Custom changes to the code were challenging, you have to understand whole flow and implement the change you want. Also designing and training neural network in limited time. Developing architecture of whole system. Tight deadline

Accomplishments that we're proud of

Finished things in time. Designed serverless architecture. Used the technologies which I had not used before.

What we learned

Using AI (bolt.new) for programming Supabase

What's next for CogniMed

New modules and AI models. Marketing Improving accuracy of AI models Human-like response to final user

Built With

• bolt.new
• css3
• database
• html5
• python
• pytorch
• queue
• react
• supabase