Problem
Medical prep platforms sell questions and classes, but almost none say where each answer comes from. In medicine, a made-up answer is a risk.
DrGaleno · AI-powered medical exam preparation
Preparation platform for SERUMS and medical exams
Platform for preparing for SERUMS (mandatory rural service for physicians in Peru) and Peru's medical exams, with a traceable question bank, adaptive mock exams, and review flashcards. It includes an AI tutor that answers only from approved content and cites its source.
- Status
- In production
- Type
- Own product · EdTech
- Platform
- Web
- Year
- 2026
The project in 30 seconds
What it solves and for whom
Solution
Every question and every tutor answer is tied to an approved source; if there is no source, the tutor says so. Students take a diagnostic, practice by topic, and review with flashcards.
Who it's for
Physicians and health professionals in Peru preparing for SERUMS and ENCAPS.
What it does
Study with evidence, not faith
01
Question bank with sources
Nothing is published without an approved source. Every question shows its origin, its version, and who reviewed it.
Tutor with mandatory citations
Answers only from approved content and cites where it comes from. If it has no verified information, it says so.
Mock exams and smart review
Five mock exam modes—full, by topic, weak areas, adaptive, and quick—plus spaced-repetition flashcards.
SERUMS tools
A score calculator and a position finder by region and profession, open without creating an account.
In numbers
What was built
Scope built
1,159 questions and 8,060 flashcards
Study material loaded into the database, each item linked to its source (these are not user figures).
Measured in tests
636 automated tests passing
At the close of the latest round of tutor improvements.
Measured in tests
15 times lower cost per answer
From ~US$0.10 to ~US$0.0067 per tutor answer, according to the technical audit.
How it's made
Technology behind it
Technology
Next.jsTypeScriptSupabasepgvectorRAG
Technical detail
Next.js 16 with Supabase. A database rule prevents publishing questions without an approved source; the tutor uses hybrid search (vector + text) with citation verification, answer caching, and a per-user usage limit.
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