International Journal of Science, Engineering and TechnologyAuthors: Omprakash Pandey, Harshal Chavan, Anubhav Sharma, Dr. Vinayak Kottawar
Abstract: Internet Gaming Disorder (IGD) and Body Dysmorphic Disorder (BDD) represent escalating mental health conditions characterized by compulsive digital behaviors and distorted self-perception. Traditional diagnostic methodologies heavily rely on sporadic clinical assessments, limiting large-scale, real-time early detection and intervention. This paper introduces AegisMind, a novel, scalable, multimodal AI language and physiological monitoring system engineered for early risk identification and real-time psychological support. AegisMind integrates an AI Orchestrator combining an NLU engine and Transformer architectures to analyze user linguistic patterns and infer anxiety levels through interactive chat sessions. Unlike static conversational models, AegisMind fuses linguistic analysis with real-time biometric telemetry—specifically Blood Pressure, SpO_2, and heart rate variability—extracted via a wearable smartwatch device during live gaming or interaction blocks. When physiological stress markers spike, the wearable system deploys localized haptic feedback (vibrations) to disrupt pathological immersive loops. Furthermore, the system incorporates an operating-system-level continuous activity monitor that enforces hard-stop limits, automatically locking screens during intense gaming thresholds to mitigate cognitive overload. For critical cases, the framework leverages Retrieval-Augmented Generation (RAG) to serve as an empathetic conversational buffer while executing automated crisis-redressal handoffs to localized clinical practitioners. Experimental validations indicate that AegisMind bridges the critical gap between passive monitoring and immediate, ethical, automated psychological intervention.
