Inspiration

Basically inspired from medical files of the patients seen so far :)

What it does

stores report data and take prompts as per the report.

How we built it

I. System Architecture: Identify core failures, define Data Types, Architecture – (Backend), Storage, AI/ML, Security

III. AI/ML Integration: Classifications – NLP for summarisation OCR for Document Parsing, Medical Images

IV. Security & User Management: Role-based access control, Cloud (GCP, AWS)

V. Deployment

Challenges we ran into

Overengineering

Accomplishments that we're proud of

healthcare becomes smarter, safer and it is just a few prompts away

What we learned

machine learning, artificial intelligence, etc.

What's next for MedVaultAI

commercialisation

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