System for smart business case study repository with ai-powered contextual search and adaptive learning recommendations, has contextual search & adaptive learning node (CSCAL) node that enables AI-powered contextual search and adaptive learning recommendations
	KHAN Y A
	2025-03-27
专利权人	UNIV GALGOTIAS (UYGA-Non-standard)
申请日期	2025-03-27
专利号	IN202511029540-A
成果简介	NOVELTY - The system comprises a 128GB micro SD Card (101), camera (102), SX1278 RF Module (103), intel movidius neural compute stick (104), Raspberry Pi processor board (105), 512GB SSD (106), DHT sensor (107), MQ135 sensor (108), power supply (109). The CSCAL Node is equipped with Raspberry Pi processor Board, SX1278 RF Module, intel Movidius neural compute stick 2, 512GB SSD, camera, 128GB MicroSD card, DHT Sensor, MQ135 Sensor, and power supply. The contextual search & adaptive learning node (CSCAL) node enables AI-powered contextual search and adaptive learning recommendations, optimizes business decision-making and skill development through real-time data analysis and environmental monitoring. USE - System for smart business case study repository with ai-powered contextual search and adaptive learning recommendations. ADVANTAGE - The system is specially designed to optimize business learning and decision-making processes. The system combines AI-driven contextual search algorithms with adaptive learning recommendations to provide tailored business case studies, helping students and professionals make informed decisions. The system dynamically analyzes vast amounts of business data, delivering contextual insights based on user queries and business scenarios. It uses machine learning models to adapt and refine its recommendations as users interact with the platform, ensuring continuous learning and skill development. The AI-powered contextual search and adaptive learning recommendations provide personalized, data-driven insights to enhance business decision-making skills. The system adapts to user interactions, refining learning pathways and offering relevant business case studies based on real-time data. The seamless communication between nodes ensures efficient data exchange and up-to-date access to business case studies. Real-time analysis of environmental data allows users to engage with dynamic and relevant business insights, improving decision-making accuracy. The platform delivers continuous learning and skill development tailored to individual business scenarios by integrating machine learning models. DESCRIPTION OF DRAWING(S) - The drawing shows a schematic diagram of the CSCAL node component. 101128GB micro SD Card 102Camera 103SX1278 RF Module 104Intel movidius neural compute stick 105Raspberry Pi processor board 106512GB SSD 107DHT sensor 108MQ135 sensor 109Power supply
IPC 分类号	A61K-036/73 ; G06F-003/04883 ; G06N-003/045 ; G06N-003/08 ; G06Q-020/14
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/13478
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV GALGOTIAS (UYGA-Non-standard)
推荐引用方式 GB/T 7714	KHAN Y A. System for smart business case study repository with ai-powered contextual search and adaptive learning recommendations, has contextual search & adaptive learning node (CSCAL) node that enables AI-powered contextual search and adaptive learning recommendations. IN202511029540-A[P]. 2025.

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