Product case study
MedGuide
Turns a 40-page patient file into a structured clinical summary in seconds, in any language.
Visit product- Next.js
- Supabase
- Google Cloud
- Gemini API
- Google AI
- TypeScript
- AI Integration
The work
Building a product people can simply use.
Clinical document intelligence for clinics, hospitals and healthcare teams. Patient records arrive as PDFs, scans and photographs in whatever language and format the originating hospital used and come back as structured clinical summaries a clinician can read inside a fifteen-minute appointment. Built on Next.js with Supabase behind it and Gemini on Google Cloud doing the extraction, with the handling constraints that medical data carries: end-to-end encryption, zero retention and GDPR compliance.
Medical records parsed from PDFs, images and scans in any language
Structured clinical summaries generated with the Gemini API
Zero data retention and end-to-end encryption for patient files
GDPR-compliant handling throughout
Multilingual interface for cross-border care
More selected work
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