Smart Healthcare Monitoring: A Generative AI Approach for Real-Time Analysis
The GenAI-Driven Real-Time Healthcare Monitoring System is a novel solution for transforming modern healthcare through the integration of wearable devices, Generative Artificial Intelligence (GenAI), and machine learning models. It addresses the most critical challenges of data scarcity, continuous health monitoring, and personalized care. Heart rate, blood pressure, and oxygen saturation can be monitored in real-time through wearable devices. Predictions of cardiovascular risks are enabled by LightGBM models. Synthetic health datasets mimicking real-world health data are generated using GANs. Such generated synthetic datasets allow for privacy while training robust models. The proposed work is available through a web interface, the system offers current metrics, trends, and suggestions in real-time using advanced LLM. GDPR and other privacy compliance standards are considered while developing this platform, multiple user support is also considered for chronic disease management and preventive care. Scalable and privacy-oriented, this system will close the gaps in existing healthcare solutions, demonstrating improved prediction accuracy and usability. Future developments may include IoT integration and mobile accessibility.
Authors
- Harshit Kumar (ORCID: https://orcid.org/0000-0002-4865-7795)
- P. Swathi
- M B Nirmala
- Vinay Kumar A Deshmukh
- Shashank K Mahaladkar
- N Tarun
Institutions
- Institute of Art (PL)
- Tumkur University (IN)
Publication Details
- Published
- 2025-06-20
- DOI
- https://doi.org/10.1109/conit65521.2025.11166734
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00