Proficio
A personalized study-plan generator for Brazil’s ENAMED medical exam, built on a deterministic engine that ranks topics by their real historical incidence.
What it is
Proficio generates a personalized study plan for ENAMED — Brazil’s national medical exam, whose score also decides ENARE residency placement. A candidate sets how much time they have to study and rates their own confidence across seven subject areas; a deterministic scheduling engine turns that into a day-by-day plan, prioritized by how often each topic has actually appeared on past exams.
The ranking comes from real exam history: 1,925 questions across 18 past ENAMED exams (2011–2025), where the top five topics in each area account for roughly 62% of everything that’s been asked. The schedule runs in three layers — Core, Extension, and an Exam/Taper phase — with mock-exam sessions and a guessing-under-uncertainty protocol built in, and every plan exports as a PDF.
How it works
Calibrated to you
Your available study time and a seven-area self-assessment shape the plan before anything else.
Weighted by real exam history
Topics are ranked by how often they’ve actually been tested, not by guesswork.
Sequenced, not just listed
A three-layer schedule — Core, Extension, and Exam/Taper — replaces a flat topic list.
The study plan
A day-by-day plan, up to exam day
A simplified view of the generated schedule: material is spread across Core, Extension, and a final Exam/Taper phase, with mock exams placed along the way toward the ENAMED exam.
Sample study plan
- Day 1CoreClínica Médica
- Day 9Mock examfull simulation
- Day 22ExtensionPediatria
- Day 38Exam prepguessing protocol
- ENAMEDExam daytarget
study plan · demo
Features
Instant PDF plan
Every generated study plan exports as a downloadable PDF.
Mock-exam scheduling
Practice exams are placed into the schedule alongside regular study sessions.
Guessing protocol
An expected-value-based strategy for eliminating answers under uncertainty is built into the plan.
Progress tracking
The live site tracks completion against the generated schedule.
Built in partnership.
Backend scheduling engine, exam-incidence dataset, and medical-accuracy sign-off — paired with front-end development and mentorship from Victor Barros.
Built in collaboration with
Victor Barros — Founder, investor, and mentor
Built Proficio’s front end and mentored the project’s engineering throughout.
Built with
- TanStack Start
- React
- Tailwind CSS
- Radix UI
- Node.js
- TypeScript
- Python
- Next.js
- PostgreSQL (Neon)
- Vercel Blob
- Playwright
- Anthropic Claude
- Stripe
- Vercel
Engineering
Deterministic scheduling core
The day-by-day plan comes from a fixed, rule-based engine, not a language model — the same inputs always produce the same schedule.
A Python forecast/value-model engine ranks each subject area’s topics by real historical incidence (1,925 questions across 18 past ENAMED exams, 2011–2025) and slots them into a three-layer sequence — Core, Extension, Exam/Taper — before any AI touches the output.
AI writes the words, not the plan
A language model only fills in the day-by-day written guidance on top of the fixed schedule — it can’t change what gets studied or when.
A schema-constrained layer (Anthropic Claude, validated against Zod schemas) generates the prose content for each day of the plan; the schedule itself is produced upstream by the deterministic engine, so a model hallucination can’t alter sequencing or topic weighting.
PDF, generated on demand
Each study plan renders into a real, downloadable PDF the moment it’s created.
Playwright drives headless Chromium server-side to render the generated plan into a PDF inside an on-demand Vercel Sandbox.
One monorepo, three runtimes
The frontend, the scheduling engine, and the API broker all live in one coordinated codebase instead of three disconnected ones.
A pnpm monorepo spans a TanStack Start/React frontend, a Next.js broker API, and a Python scheduling engine, sharing Zod-validated contracts; Postgres on Neon holds state and Vercel Blob stores generated PDFs.
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