06 / Case study · 2025

VaiTAL

Your labs, decoded.

VaiTAL — Personal health intelligence

Upload a lab report PDF. VaiTAL parses it, normalizes results, and produces actionable insights: what's out of range, what's trending, what to ask your doctor. Powered by Google Gemini for reasoning over parsed values.

By the numbers
  1. PDF, image Input formats
  2. < 30 sec Parse-to-insight
  3. User-held Data ownership
Problem

Lab reports come back as dense PDFs full of reference ranges. Most people glance at the summary and move on, missing trends, context, and the right questions to ask their doctor next visit.

What I built

A medical results tracking app that takes pictures of lab tests, scans and parses them into structured values, and records every result against a personal database of health parameters and medications. An AI-powered chat layer turns raw numbers into plain-language insight, surfaces trends across checkups, and gives users actionable tips for improving specific parameters and their overall health, putting them in charge of monitoring their own care.

Outcome

Gives users the information, insight, and actionable tips they need to improve their health parameters, plus reliable medical intelligence that strengthens, not replaces, their professional consultations.

Stack
  • Next.js 16
  • Supabase
  • Gemini
  • PDF parsing