MUMBAI, India, Aug. 24 -- Intellectual Property India has published a patent application (202641097200 A) filed by Anurag University on August 12, 2026, for Adaptive Human-Centric Environmental Exposure And Physiological Risk Assessment System.

Inventors include Siri Rayagiri; Sai Krithi Sampally; Vaishnavi Devi Devarkonda; and Gayathri Korudula.

The application for the patent was published on August 21, 2026, under issue no. 34/2026.

Abstract: ABSTRACT The present invention relates to an adaptive human-centric environmental exposure and physiological risk assessment system (100) for generating real- time, personalized health-risk predictions through correlated environmental-physiological analysis. The system (100) comprises an environmental sensing subsystem (101), a physiological sensing subsystem (102), a microcontroller unit (103), a sensor-fusion engine (104), a communication module (105), an adaptive predictive analytics engine (106), a database module (107), a risk classification module (108), an alert generation module (109), and an AI chatbot interface (110). The sensor- fusion engine (104) temporally synchronizes environmental and physiological data to generate a contextual health profile, from which the adaptive predictive analytics engine (106) computes a Dynamic Health Exposure Index using historical health records and age-related vulnerability data stored in the database module (107). The risk classification module (108) classifies the index into a safe, caution, high-risk, or critical-risk state, with the associated threshold adaptively adjusted based on previously learned exposure-response patterns, while the alert generation module (109) and the AI chatbot interface (110) generate corresponding alerts and personalized intervention recommendations. The integrated architecture improves prediction accuracy, reduces false alerts, and enables proactive, personalized preventive healthcare guidance. The figure associated with abstract is Fig. 1.

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