Intelligent artificial intelligence-driven business forecasting and automated decision support system for business schools, has interactive decision-support interface that provides visual insights, simulations, and scenario15 based recommendations
	YADAV A K
	2025-03-29
专利权人	UNIV GALGOTIAS (UYGA-Non-standard)
申请日期	2025-03-29
专利号	IN202511031223-A
成果简介	NOVELTY - The system comprises a camera (101), a 128GB micro Secure digital (SD)card (102), a Google(Company Name) coral edge tensor processing unit (TPU) module (103), an XBee radio frequency (RF) module (104), a Advanced micro devices (AMD)ryzen(Core processor) embedded V2516 processor board (105), a power supply (106), an Intel(Company Name) movidius neural compute stick, a High definition multimedia interface (HDMI)touchscreen display, the XBee RF module, the microsd card, a nvidia jetson orin nano, and the power supply. An Artificial intelligence (AI)-based business forecasting (AIBF) node (100) is equipped with the embedded v2536 processor board. The Xbee RF module is deployed in both the AIBF node and an automated decision support and visualization node. An interactive decision-support interface provides visual insights, simulations, and scenario15 based recommendations. USE - Intelligent AI-driven business forecasting and automated decision support system for business schools and academic institutions. ADVANTAGE - The system integrates artificial intelligence, machine learning, and real-time data processing to analyze business trends, financial models, and market dynamics, thus enabling students and educators to develop informed strategies. The system captures and processes historical and real time data using artificial intelligence (AI)-powered forecasting models to identify emerging trends, risks, and opportunities, and features an interactive decision-support interface that provides visual insights, simulations, and scenario15 based recommendations, thus enhancing business education and strategic planning.
IPC 分类号	G06Q-030/00 ; G06Q-030/0201 ; G06Q-030/0202
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/13328
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	YADAV A K. Intelligent artificial intelligence-driven business forecasting and automated decision support system for business schools, has interactive decision-support interface that provides visual insights, simulations, and scenario15 based recommendations. IN202511031223-A[P]. 2025.

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