Shalini K V , Anaswar Ramadas , Mohammed Shamil A P
International Journal of Electrical, Electronics and Computers (IJECC), Vol-11,Issue-1 (Special Issue-NCASTEM), January - February 2026, Pages 23-30, 10.22161/eec.ncastem.2025-4
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Article Info: Received: 18 Nov 2025; Accepted: 03 Feb 2025; Date of Publication: 07 Feb 2026
Due to the rising instances of stress and anxiety conditions, the issue of mental health issues is legitimate; there is a genuine requirement for delivering solutions that could be applied efficiently. The following proposal is concerning the implementation of artificial intelligence-based digital therapies for delivering individual assistance pertaining to stress and anxiety conditions. It deals with the analysis of emotional conditions in real time and is developed in such a manner that it adjusts itself to suit the needs of all users, making efficient decisions concerning the user inputs through text and audio for understanding the extent of the current emotional conditions of the user. The decisions are individualized concerning the psychological effects of all users. To ensure efficient decisions for accurate knowledge of the psychological conditions of the users, there is the use of the physiological conditions of the users concerning heart variability and the rate of respiration. The digital platform concerning therapy incorporates efficient measures such as cognitive behavioral therapy sessions, mindfulness practices, and meditations. To ensure that the end-user receives assistance strategies exactly concerning user interests, there is a reinforcement learning approach that escalates the strategies through continuous feedback from all users. It also utilizes an intelligent. What makes this project unique lies in the intersection of the above-mentioned fields in one solution related to proactive mental health. With the proposed project, the current mental health treatment trends on the World Wide Web might be disrupted, which helps in forming a resilient society. The proposed solution might redefine the meaning of mental health at the web-based treatment level..