Healthsync-AI: Health Monitoring and AI-Driven Emergency System
Abstract HealthSync AI (HSAI) is an intelligent health monitoring system designed to make personal healthcare more accessible, convenient, and proactive through the integration of Artificial Intelligence (AI), the Internet of Things (IoT), and software technology. In today's busy lifestyle, people may overlook changes in their health until they become serious, highlighting the need for continuous monitoring and timely awareness. HealthSync AI addresses this need by providing a desktop application where users can manage their health profiles, monitor vital signs and physical activity through compatible Bluetooth Low Energy (BLE) devices, and store their health information securely in a user-specific database. The system uses AI-based analysis to examine available health readings, identify unusual patterns, and provide personalized health insights and general wellness recommendations. It also incorporates features such as nearby hospital discovery, emergency contact support, and outbreak-related information to help users make more informed decisions. By combining wearable sensor data, intelligent analysis, and an easy-to-use interface, HealthSync AI aims to encourage healthier habits and support early awareness of potential health concerns. The system is intended to complement, rather than replace, professional medical advice and diagnosis. Right now, our healthcare system is fundamentally reactive, meaning people usually only end up in a hospital after their symptoms have already become severe. Most healthcare apps available today are pretty limited, functioning mostly as digital filing cabinets for storing medical records or simple tools for booking appointments. On a broader scale, public health authorities are constantly fighting an uphill battle. Because medical data is scattered across different systems and reporting is often delayed, officials struggle to spot disease outbreaks at an early stage when intervention could actually save lives. To move far beyond the single-metric limitations of typical open-source projects, HealthSync AI is designed to ingest and process eleven distinct telemetry streams simultaneously, offering a complete and continuous window into a user's physiological state. This multi-parameter data doesn't just sit in a silo; it is securely managed through local SQLite persistence and channeled into an intelligent backend framework that processes structured health observations rather than relying on superficial, generic API wrapper chatbots. The platform also tackles the broader systemic issues of delayed reporting and fragmented medical data by introducing integrated outbreak analysis. While traditional systems leave public health authorities struggling to spot community-level risks in time, HealthSync AI bridges individual continuous monitoring with aggregated insights to help track potential health threats at an early stage. Combined with built-in emergency response features and a clean separation of responsibilities across its BLE, database, and UI layers, HealthSync AI transforms personal wellness tracking and community health intelligence into a single, cohesive, and future-ready solution.
Authors
- Shubham Mutkule
- Ayush Nanekar
- Anant Kumbhar
- Soni Ragho
- Sarthak Wagh
Institutions
- DY Patil Deemed to be University (IN)
Publication Details
- Journal
- Research Square
- Published
- 2026-11-02
- DOI
- https://doi.org/10.21203/rs.3.rs-11555807/v1
- Primary Topic
- Mobile Health and mHealth Applications
- Type
- preprint