| Smart artificial intelligence-based peer review system for evaluating business assignments, has coral edge tensor processing unit module that accelerates AI-based content analysis, and allows efficient natural language processing | |
| 2025-03-27 | |
| 专利权人 | UNIV GALGOTIAS (UYGA-Non-standard) |
| 申请日期 | 2025-03-27 |
| 专利号 | IN202511029565-A |
| 成果简介 | NOVELTY - The system has a SX1276 radio frequency (RF) module (101) integrated within an assignment and review (AARE) node (100) and a collaborative learning and feedback node (CLF). The RF module ensures secure and seamless wireless communication, and facilitates real-time assignment data exchange, peer review synchronization, and artificial intelligence (AI)-generated feedback updates. A Google(Company Name) coral edge tensor processing unit (TPU) module (107) accelerates AI-based content analysis, and allows efficient natural language processing (NLP) for automated evaluation, grammar correction, and originality detection, and is deployed in the AARE Node. USE - Smart AI-based peer review system for evaluating business assignments and enhancing collaborative learning. ADVANTAGE - The system enhances the learning experience, reduces evaluation bias, and fosters an interactive, knowledge-sharing academic environment by incorporating real-time feedback, adaptive grading, and AI-driven content insights. The system ensures efficient workflow and data management by providing high-speed storage and retrieval of assignment data, AI-generated feedback, and review history. |
| IPC 分类号 | G06Q-010/0631 ; G06Q-010/10 ; G06T-005/50 ; G06T-007/00 ; H04M-015/00 |
| 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/13469 |
| 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 | VERMA P. Smart artificial intelligence-based peer review system for evaluating business assignments, has coral edge tensor processing unit module that accelerates AI-based content analysis, and allows efficient natural language processing. IN202511029565-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论