| Artificial intelligence-powered market forecasting and analysis system for various industries comprising finance, retail, commodities, agricultural, fishing, mining, lumber harvesting, environmental or ecological attributes, has machine learning engine comprising predictive modeling algorithms | |
| 2025-03-23 | |
| 专利权人 | RAAK ARTS & SCI COLLEGE PUDUCHERRY (RAAK-Non-standard) |
| 申请日期 | 2025-03-23 |
| 专利号 | IN202541026641-A |
| 成果简介 | NOVELTY - The system has a data acquisition module which is configured to collect market-related data from structured and unstructured sources comprising financial reports, news articles and social media feeds. A preprocessing unit is configured to clean, normalize, and structure collected data for further analysis. A machine learning (ML) engine comprises predictive modeling algorithms which are trained on historical and real-time data. A natural language processing (NLP) module performs sentiment analysis and interpretation on textual data. A user interface (UI) is configured to display real-time analytics, trend predictions and customized reports. A continuous learning mechanism updates predictive models based on acquired data. A cloud-based or on-premise computing infrastructure is configured to support scalable data processing and analytics. USE - Artificial intelligence (AI)-powered market forecasting and analysis system for various industries comprising finance, retail, commodities, agricultural, fishing, mining, lumber harvesting, environmental or ecological attributes. ADVANTAGE - The system continuously refines predictive models through adaptive learning mechanisms, offers a scalable solution for various industries, enables data-driven market analysis, improves forecasting accuracy over time, learns from data continuously, continuously learns from new data, provides an intuitive experience, allows users to access interactive dashboards, generates customized reports, sets alerts for specific market conditions, integrates machine learning algorithms, natural language processing and real-time data acquisition techniques to provide accurate and timely insights and ensures scalability and security. |
| IPC 分类号 | G06N-020/00 ; G06N-003/045 ; G06Q-030/0201 ; G06Q-040/06 ; G06Q-050/00 |
| 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/13560 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | RAAK ARTS & SCI COLLEGE PUDUCHERRY (RAAK-Non-standard) |
| 推荐引用方式 GB/T 7714 | BARANEEDHARAN R,CHANDRABOSS S,DEVIBALA R,et al. Artificial intelligence-powered market forecasting and analysis system for various industries comprising finance, retail, commodities, agricultural, fishing, mining, lumber harvesting, environmental or ecological attributes, has machine learning engine comprising predictive modeling algorithms. IN202541026641-A[P]. 2025. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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