Symptom Seeker

Inspiration

Many people struggle with referral fatigue white going to medical professionals. Many Professionals avoid this themselves by possessing the knowledge to bring themselves to the correct specialist. We want to give this power regular people.

What it does

Symptom seeker uses state-of-the-art AI models to listen to user symptoms and refer them to the correct medical professional

How we built it

Symptom seeker is built using a python backend with FastAPI and React/Typescript frontend

Challenges we ran into

Implementation of a vector database for checking user symptom history for similar issues to detect chronic illness or correlated symptoms.

Accomplishments that we're proud of

Vector Database allows the AI model to

What we learned

How to implent a modern application using LLM APIs

What's next for Symptom Seeker

Possible features in the future.

Built With

• chromadb
• fastapi
• gemini
• python
• react
• typescript
• vectordb
• web