| Gesture-based question-solving system for using computer vision and machine learning to create interactive platform of interpreting user gestures and images for intelligent query resolution, has neural network-based query interpretation module that is trained on dataset of gestures | |
| 2025-04-07 | |
| 专利权人 | JIS COLLEGE ENG (JISC-Non-standard) |
| 申请日期 | 2025-04-07 |
| 专利号 | IN202531033768-A |
| 成果简介 | NOVELTY - The system has a gesture recognition module for capturing and processing hand gestures input by a user. An image processing module processes images uploaded by the user. A neural network-based query interpretation module is trained on a dataset of gestures and images to classify input data and generate corresponding answers. An artificial intelligence (AI)-powered answering system utilizes deep learning models to interpret the processed input and generate a query resolution in real-time. An interactive user interface displays textual and graphical responses. The recognition module utilizes OpenCV and MediaPipe for hand tracking and gesture interpretation. USE - Gesture-based question-solving system for using computer vision and machine learning to create an interactive platform of interpreting user gestures and images for intelligent query resolution. Uses include but are not limited to education, customer service, assistive technology, and interactive learning environments. ADVANTAGE - The system ensures real-time responsiveness and high accuracy in providing context-aware answers, making powerful tool for problem-solving and knowledge retrieval, by combining AI models like neural networks and the Gemini API. The system provides a robust, real time query resolution system that is both highly accurate and accessible, offering significant improvements over current gesture-based or image recognition platforms. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is included for a method for querying a question-solving system. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of the gesture-based question-solving system for using computer vision and machine learning to create an interactive platform of interpreting user gestures and images for intelligent query resolution. |
| IPC 分类号 | G06F-003/01 ; G06N-020/00 |
| 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/13192 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | JIS COLLEGE ENG (JISC-Non-standard) |
| 推荐引用方式 GB/T 7714 | SHAW A K,ADHIKARY D,UKIL A,et al. Gesture-based question-solving system for using computer vision and machine learning to create interactive platform of interpreting user gestures and images for intelligent query resolution, has neural network-based query interpretation module that is trained on dataset of gestures. IN202531033768-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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