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VeriMed
A mobile-friendly medicine authenticity risk assessment tool using image analysis, OCR, barcode decoding, and reference data.
Project overview
What I built
VeriMed combines computer vision and reference-based matching to give users a plain-language assessment of whether medicine packaging appears genuine, suspicious, or unverifiable.
Category
Health Tech
Timeline
May 2026
Scope
7 technologies
Delivery notes
Highlights
The practical work, decisions, and working systems that shaped this project.
- Three-image verification flow
- OCR, barcode decoding, and fuzzy matching
- Weighted risk classification with next-step guidance
- Persistent assistant conversations tied to verification results
Technical foundation
Built with
The tools and platforms used to move the idea from concept to a working project.
FastAPINext.jsOpenCVEasyOCRpyzbarrapidfuzzPostgreSQL
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