The problem DigitalVaidya solves In today’s fast-paced world, millions of people experience health symptoms daily but struggle to explain them accurately. Many patients, especially in rural areas or non-English-speaking regions, find it hard to describe what they feel in words. Traditional symptom checkers rely on text input — ignoring the natural way humans express pain visually.
Healthcare professionals also face challenges when patients provide vague or incomplete information, leading to misdiagnosis, delayed care, or unnecessary consultations.
There’s a clear gap between how people feel and how technology understands those feelings.
Challenges we ran into Human Sketch Recognition: Teaching AI to accurately interpret rough body sketches and map them to medical insights.
AI Model API Integration: Fine-tuning Google Gemini for seamless visual–text understanding and reliable outputs.
Data Privacy: Ensuring secure health data handling through Firebase authentication.
AI Response Speed: Reducing latency while maintaining accuracy in health summaries.
System Coordination: Aligning sketch uploads, AI processing, and user authentication ~across frontend and backend.
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