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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