MUMBAI, India, June 24 -- Intellectual Property India has published a patent application (202421097470 A) filed by Dr. J. J. Magdum College Of Engineering; Rohit Dhondiram Mane; Pournima Rohit Mane; Shraddha Shrikant Salokhe; Reenal Chetan Shah; Sahil Sanjay Sutar; and Tanmay Balu Patil on December 10, 2024, for Ai-Driven Mobile Stress Detection And Mental Health Monitoring System For Refugee Mental Health Support.
Inventors include Rohit Dhondiram Mane; Pournima Rohit Mane; Shraddha Shrikant Salokhe; Reenal Chetan Shah; Sahil Sanjay Sutar; and Tanmay Balu Patil.
The application for the patent was published on June 12, 2026, under issue no. 24/2026.
Abstract: AI-Driven Mobile Stress Detection and Mental Health Monitoring System for Refugee Mental Health Support This invention describes an AI-integrated mobile system for real-time stress detection, specifically tailored for resource-constrained environments like refugee camps. Utilizing multimodal analysis of facial expressions and speech patterns, the system employs advanced machine learning models, including convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, to evaluate stress indicators with precision. The system comprises a data acquisition module for capturing inputs, a preprocessing unit to enhance data quality, an AI analysis core for multimodal evaluation, and a user-friendly interface for real-time visualization of stress levels. Additionally, a recommendations module provides actionable mental health interventions, such as psychological first aid and community-based activities. Designed for scalability and low-resource operation, the system ensures accessibility while maintaining robust data security to protect user confidentiality. This invention addresses the critical need for efficient and reliable mental health monitoring in humanitarian settings, promoting individual well-being and community stability
Disclaimer: Curated by HT Syndication.
