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Prescription AI Webapp
Decodes handwritten prescriptions into clear text using a vision model + MERN stack.
Vision model extractionReadable post-processingUser-friendly workflow
Problem
Handwritten prescriptions are hard to read and error-prone.
Approach
Used a vision-capable model with a web workflow for clean, readable output.
Value
Improves clarity and reduces errors for patients and pharmacies.
Snapshot
An end-to-end workflow that turns scanned prescriptions into clean, readable summaries with verification steps.
Stack
- MERN
- Gemini Vision
- Post-processing
Role
- Full-stack build
- Model integration
- UX flow
Outcomes
- Readable output
- Lower error risk
- End-to-end workflow
Build notes
- Vision extraction with a validation layer.
- Post-processing rules to normalize medicine names.
- Review UI for fast approval and export.
Roadmap
- Confidence scoring per line item.
- Pharmacy-ready export formats.
- Multi-language support.
Want something similar built for your product?
I'll scope the path, then ship with reliability in mind.