MeroDaktar
AI-powered Nepali medical assistant for symptom analysis, voice interaction, and doctor booking.
Tech Stack
Overview
MeroDaktar is my final year Bachelor project — a bilingual AI medical assistant designed for Nepal's healthcare landscape. It combines a fine-tuned Med-Gemma LLM with automatic speech recognition (ASR) and text-to-speech (TTS) to enable both voice and text interaction in Nepali and English. The system analyzes symptoms, generates structured medical reports, and integrates with a doctor booking flow. All health records are stored securely with role-based access.
Key Highlights
Fine-tuned Med-Gemma LLM on Nepali medical datasets for domain-specific symptom analysis
Integrated bilingual ASR and TTS enabling fully voice-driven interactions in Nepali and English
Automated symptom report generation with structured clinical summaries
Secure health record management with role-based access control for patients and doctors
End-to-end doctor booking flow integrated with the AI diagnostic layer