PULSE — Bharat's Medication Companion
Link to open source: https://github.com/BhavyaBhardwaj807/Hackdays
PULSE is a multilingual, AI-powered medication adherence tracking web application designed to solve India's medication non-compliance crisis.
Purpose: Build the first medication management app purpose-built for India's 1.4 billion people — where 22 languages, low digital literacy, elderly users, and vernacular-speaking caregivers have been completely ignored by English-centric apps. PULSE eliminates friction by letting users add medications through voice (in their own language via Sarvam STT), scan doctor prescriptions (Sarvam LLM parses messy handwritten Indian prescriptions automatically), and receive reminders spoken aloud in their chosen language (Sarvam TTS).
Goals:
- Enable medication tracking for non-English users. Let an elderly patient in Gujarat or a daily-wage worker in Tamil Nadu manage their chronic medications without typing English — voice entry, prescription scanning, vernacular reminders.
- Automate medication data entry from real Indian prescriptions. Doctor prescriptions in India are notoriously messy — mixed Hindi-English script, abbreviations, handwriting. Use Sarvam's LLM to parse and extract medicine names, dosages, frequency, and duration automatically, reducing manual entry errors by 90%+.
- Improve medication adherence through intelligent tracking & reporting. Current adherence rates in India are 51% for NCDs, 15.8% for hypertension, 48% for diabetes. PULSE targets 80%+ adherence through streaks, real-time spoken reminders, and auto-generated adherence summaries for doctor visits.
- Bridge the caregiver gap. Family members managing elderly parents' medications have no centralized tool. PULSE includes a caregiver interface where relatives can ask medication questions in their language and receive answers from an AI assistant.
- Operate offline-first for rural India. Build for low-connectivity environments where data syncs when connection returns — critical for tier-2/3 cities and rural areas.
Problem Statement (Hackathon context): India has 207M hypertensive patients and 77M diabetic patients, but most AI health tools are built for English speakers. Only 11% of rural elderly have digital literacy, and no app speaks their language. Sarvam is changing that — PULSE is the proof that Indian-language AI can make healthcare accessible to everyone.
This build was uploaded as a hackathon project
