Inspiration
The growing healthcare crisis in rural India inspired us to build an AI-powered solution that supports doctors and patients throughout the medical journey — from symptom analysis to post-treatment care.
What it does
MedTech acts as a virtual medical assistant — it gathers symptoms, performs preliminary triage, generates structured reports, and gives personalized post-consultation advice.
How we built it
We used React.js for the frontend, Node.js + Express for the backend, and MongoDB for data storage. We integrated llama-3 to power medical reasoning and built symptom-to-report logic using prompt engineering
Challenges we ran into
Ensuring clinical relevance in LLM responses Handling incomplete or vague symptom input Maintaining user trust and medical safety
Accomplishments that we're proud of
Built a fully working AI-powered prototype Generated structured pre-consultation reports in seconds Designed a flow suitable for both rural and urban healthcare settings
What we learned
Prompt tuning for healthcare is delicate and critical Real-world testing improves both accuracy and usability Combining AI and healthcare needs strong ethical alignment
What's next for MedTech
We plan to pilot MedTech in small clinics, integrate multilingual support, and collaborate with public health institutions for real-world deployment.
Built With
- ai/ml
- llama
- node.js
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