VitaMatch
VitaMatch: personalized healthcare, completely new with AI.
Health AI agent that recommends supplements and manages medication schedules. I built the RAG pipeline over the product and nutrition knowledge base, the reminder and calendar tools the agent calls, and the Jetpack Compose client.
Highlights
- AI agent chat that answers supplement and nutrition questions and recommends products with purchase links.
- Personalized analysis from questionnaires, test results and wearable data: tailored supplement, diet and exercise plans.
- Medication reminders and a monthly calendar to track every intake.
- Self-check tests (brain, liver, blood pressure, diabetes) and a BMI calculator.
- Voice chat mode and source citations (PDF, web) for every answer.
- Kotlin and Jetpack Compose client on top of an LLM agent with retrieval and tool calling.
What I built
- RAG pipeline: ingestion of product, nutrition and guideline documents, embeddings and a vector index, and the retrieval step that feeds the agent and the PDF/web citations shown with every answer.
- Tool calling: the reminder, calendar and product-lookup tools the agent calls to act on the user's schedule.
- Android client: Kotlin and Jetpack Compose chat, calendar and self-check screens, plus voice mode.
Features
Hyper-personalized AI analysis
Combines questionnaires, test results and wearable data into tailored supplement, diet and exercise plans.
Smart reminders
Intake-time and restock alerts keep the routine going.
Expert verified
Designed and reviewed by doctors, pharmacists and nutritionists.
Real-time updates
The AI adjusts its feedback as soon as the data changes.
Safety check
Automatic monitoring of ingredient interactions.
One-stop platform
From recommendation to purchase in one app.
Screens
Splash screen
AI chat with purchase links
Product recommendations
Voice chat mode
Side menu with self-check tests
Medication calendar
Stack
Kotlin
Jetpack Compose
RAG
Tool calling
LLM agent