Bridging Distances, Enhancing Care—Empowering Health with AI, IoT, and Virtual Connectivity
Swasthify is a next-generation AI and IoT-enabled virtual healthcare platform designed to bridge the gap between patients and healthcare providers, particularly in rural and underserved areas. The solution integrates AI-assisted disease detection, a real-time AI medical chatbot (Dr. MediBot), and an IoT-based automated pill dispenser to ensure timely and error-free medication delivery. Users can seamlessly schedule virtual consultations, manage appointments via Google Calendar integration, and access digital prescriptions through an intelligent Prescription Summarization System (PrescriptIQ). The platform features personalized healthcare recommendations, disease-specific prediction models, and AI-driven drug and treatment duration suggestions, enhancing diagnostic accuracy and treatment effectiveness. With a centralized MongoDB database, secure JWT and Google OAuth-based authentication, and a mini-escrow payment system to protect transactions, Swasthify delivers a comprehensive, smart, and secure healthcare experience directly to the user’s fingertips.
Hour 0–2: Finalized the problem statement Outlined key features and divided tasks among team members Hour 3–6: Collected and preprocessed medical datasets Started building the AI-based disease prediction model Set up the basic frontend and backend architecture Hour 7–10: Developed Dr. MediBot — AI chatbot for basic triage Integrated initial version of the virtual consultation interface Configured MongoDB backend for user and health data Hour 11–15: Prototyped the IoT-based pill dispenser using Raspberry Pi Implemented secure user authentication (JWT & Google OAuth) Integrated Google Calendar API for doctor appointments Hour 16–20: Built PrescriptIQ for prescription summarization and recommendations Implemented the mini-escrow payment system Connected frontend, AI model, and chatbot to the backend APIs Hour 21–24: Performed testing and debugging across modules Deployed the platform to the cloud Finalized UI/UX and prepared the demo presentation