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.

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