| Automated car price prediction system for predicting car price, has set of algorithms that are used and tested, and random forest regression provides best and utmost accurate results | |
| 2023-10-16 | |
| 专利权人 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 申请日期 | 2023-10-16 |
| 专利号 | IN202341069846-A |
| 成果简介 | NOVELTY - The system has a set of algorithms that are used and tested, and a random forest regression provides best and utmost accurate results, where the system generates accurate and efficient result, reduces manual work, efficient demand prediction and automated prediction. The system makes the entire prediction online such that no chance of frauds happens in the system, and adds a new feature i.e. seller type, that consists of manual and dealer such that to know whether an owner of a car either a dealer or individual, and to have a confidence over the predicted price, where a model is evaluated using test data, and the data used for the prediction is collected from a web portal autopilot. USE - Automated car price prediction system for predicting car price. ADVANTAGE - The system enables allowing computers to learn automatically without human intervention and adjust actions accordingly. The system allows a user to select a price for a car based on the price of the car, so that the user can purchase the car in an efficient manner. The system generates accurate and efficient result, reduces manual work, provides efficient demand prediction, automated prediction. The system reduces computation time. |
| IPC 分类号 | G06K-009/62 ; G06N-003/04 ; G06N-003/08 ; G06Q-010/04 ; G06Q-030/02 |
| 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/19910 |
| 专题 | 中国科学院新疆生态与地理研究所 |
| 作者单位 | BHARATH HIGHER EDUCATION & RES INST (BHAR-Non-standard) |
| 推荐引用方式 GB/T 7714 | ETHIRAJULU V,MUTHULAKSHMI K,JHON D,et al. Automated car price prediction system for predicting car price, has set of algorithms that are used and tested, and random forest regression provides best and utmost accurate results. IN202341069846-A[P]. 2023. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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