ArogyaSetu is an AI-driven healthcare assistant accessible through WhatsApp, designed to bridge India's healthcare accessibility gap — especially for rural and elderly populations — by offering real-time medical guidance in regional languages without needing an app. Key Features: -Voice support (English) -AI-based symptom analysis and contextual health recommendations -Zero-cost access via WhatsApp — no app install needed Tech Stack: - Backend: Python, FastAPI - AI/ML: Whisper ASR, Large Language Models (LLMs) - Memory: ChromaDB - Security: JWT Authentication - DevOps: Docker - Database: SQLite - Integration: WhatsApp Cloud API Deployment: - Docker containerization - CI/CD pipeline with GitHub Actions - Deployed on Azure Container Instances Key Learnings: - WhatsApp API integration for real-time interaction - Contextual AI for healthcare guidance - Docker containerization and CI/CD pipelines - Deployment using Azure Cloud My Role: - Integrated WhatsApp Cloud API for real-time communication - Developed core FastAPI backend to process AI interactions Impact: - Built to serve the 70% of India's population without consistent healthcare access - Offers intuitive health support through a familiar interface (WhatsApp) - Scalable, containerized architecture ready for deployment at scale