Code semantic analysis and automatic generation method and system based on multi-modal AI model
Through the code semantic parsing and automatic generation system based on multimodal AI models, the problems of low code data integration efficiency and cumbersome steps in the existing technology are solved, and fast and easy code parsing and automatic generation are achieved.
CN120596098APending Publication Date: 2025-09-05KUNSHAN BOLANG INFORMATION TECH CO LTD
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Patent Information
- Application Number
- CN202510668004.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-05-23
- Publication Date
- 2025-09-05
AI Technical Summary
Technical Problem
Existing code semantic parsing methods are inefficient and cumbersome when it comes to quickly integrating and processing code data, which affects the user experience.
Method used
A code semantic parsing and automatic generation system based on a multimodal AI model is used. Code is input through photo recognition and text input, and an AI model unit is built to extract, integrate and execute data, which is then stored, analyzed and managed in the parsing system.
Benefits of technology
It realizes fast and easy operation of code semantic parsing and automatic generation, improving the code parsing speed and user experience.
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Figure CN120596098A_ABST
Abstract
The invention discloses a code semantic analysis and automatic generation method and system based on a multi-modal AI model, and the system comprises a code recognition input system, a multi-modal AI model building system and a code data analysis generation system, the code recognition input system is connected with the multi-modal AI model building system, and the code data analysis generation system is connected with the multi-modal AI model building system. And the multi-modal AI model establishing system is connected with the code data analysis and generation system. According to the code semantic analysis and automatic generation method and system based on the multi-modal AI model, codes needing to be analyzed are scanned and recognized, the codes are input in a photographing recognition and character input mode, and the input codes are subjected to data processing and output; constructing an AI model unit which comprises a model framework unit and a data set unit, and performing code data extraction, integration and execution processing; and inputting the codes extracted and sorted in the AI model into an analysis system, and carrying out storage, analysis and generation management on code data.
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