MUMBAI, India, June 22 -- Intellectual Property India has published a patent application (202641051172 A) filed by B Varun Kumar; S. Vignesh; S. Santhosh Kumar; J. Ravikumar; and K. S. Rathi Varma on April 22, 2026, for Ai Powered Predictive Health Tracker For Identifying Early Sings Of Chronic Fatigue Syndrome.
Inventors include B. Varun Kumar; S. Vignesh; S. Santhosh Kumar; J. Ravikumar; and K. S. Rathi Varma.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: The invention titled “Al Powered Predictive Health Tracker For Identifying Early Sings of Chronic Fatigue Syndrome” Chronic Fatigue Syndrome (CFS), also known as Myalgic Encephalomyelitis (ME), is a long-term and complex health condition characterized by persistent fatigue, sleep disturbances, cognitive dysfunction, and reduced physical activity, often lacking clear diagnostic biomarkers and making early detection difficult. This project proposes an Al-Powered Predictive Health Tracker designed to identify early signs of CFS by leveraging machine learning algorithms and real-time health monitoring data. The system integrates data collected from wearable devices and user inputs, including heart rate variability, sleep quality, physical activity levels, stress indicators, and self-reported symptoms, to analyse patterns associated with the onset of chronic fatigue. Advanced predictive models such as Random Forest, Support Vector Machines, and Neural Networks are trained on historical health datasets to detect anomalies and assess risk levels with high accuracy. The platform provides personalized health insights, early risk alerts, and preventive recommendations to encourage timely medical consultation and lifestyle modifications. By enabling continuous monitoring and proactive intervention, the proposed solution aims to reduce delayed diagnosis, improve patient outcomes, and enhance overall quality o
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