Published Paper Details:

The healthcare sector in rural India faces a severe crisis characterized by an 80% shortfall in specialist doctors, inadequate chronic disease management, and irregular patient records. To address these persistent challenges, we propose LUMIN, an AI driven digital healthcare platform tailored for rural and semi-urban populations. The platform integrates cutting-edge technologies, including wearable devices, health-tracking APIs, and predictive analytics, to enhance healthcare accessibility, efficiency, and outcomes. Key features of LUMIN include real-time health monitoring, chronic illness supervision, and predictive analytics for early health risk identification. Gender-specific health needs are addressed through tools like a menstrual cycle tracker, while telemedicine ensures timely emergency consultations. The platform's AI-powered chatbot provides health guidance and reminders, reducing dependence on immediate human intervention. A subscription-based model with tiered pricing ensures affordability and scalability, catering to economically diverse users. Technologically, the platform is built using React.js for a responsive frontend, Node.js for a robust backend, and MongoDB for efficient data management. Advanced AI algorithms implemented via TensorFlow and PyTorch enable personalized healthcare insights. The integration of cloud-based solutions ensures scalability and data security while adhering to healthcare compliance standards. This project emphasizes proactive healthcare practices, shifting the focus from reactive treatments to preventive care. By empowering both users and healthcare providers, LUMIN addresses systemic healthcare disparities and aims to transform rural healthcare delivery. The scalable, inclusive design positions the platform as a sustainable solution for bridging healthcare gaps in underserved regions, paving the way for equitable health services and improved quality of life.