Artificial intelligence-driven system for use in predictive stress management of higher education, has data collection module for gathering academic, health and self-reported data, and deep learning models for analyzing stress indicators and patterns
	SINGH R
	2025-03-29
专利权人	UNIV SWAMI VIVEKANAND SUBHARTI (UYSW-Non-standard)
申请日期	2025-03-29
专利号	IN202511030653-A
成果简介	NOVELTY - The system has a data collection module to gather academic, health, and self-reported data. Deep learning models include CNNs and RNNs to analyze stress indicators and patterns. An intervention module provides personalized recommendations based on stress predictions. A user interface is provided for real-time access to insights and strategies by students and educators. The intervention module comprises relaxation exercises, time management advice and referrals to professional counselors. The interface is implemented through dashboards and mobile applications for accessibility. The module integrates with wearable devices, student management platforms and applications. USE - Artificial intelligence-driven system for use in predictive stress management of higher education. ADVANTAGE - The system predicts stress levels in students, thus enabling timely interventions and personalized recommendations to mitigate stress. The system enhances mental health, improves academic performance, and promotes a supportive learning environment.
IPC 分类号	A61B-005/00 ; A61B-005/16 ; G06N-003/08 ; G16H-050/20 ; G16H-050/30
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13337
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV SWAMI VIVEKANAND SUBHARTI (UYSW-Non-standard)
推荐引用方式 GB/T 7714	SINGH R. Artificial intelligence-driven system for use in predictive stress management of higher education, has data collection module for gathering academic, health and self-reported data, and deep learning models for analyzing stress indicators and patterns. IN202511030653-A[P]. 2025.

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