6 results about "Advisory system" patented technology

This invention discloses a precise legal consultation method and system based on multi-agent orchestration. The method includes: employing a hybrid intent classification mechanism with three levels of linkage—LLM remote reasoning, local heuristic correction, and keyword fallback—to route user requests to different paths, driving differentiated processing flows; performing dual-path retrieval of vector retrieval and knowledge graph relationship expansion in deep analysis to generate a structured analysis report; introducing a multi-dimensional context compression algorithm to reduce token overhead and illusion risk; embedding a three-stage emotional reassurance mechanism throughout the entire response process; and using a rendering type protocol to achieve front-end / back-end decoupling and unified rendering across multiple platforms, decomposing the processing into continuous dynamic feedback through a staged streaming response mechanism. This invention achieves intelligent, precise, and emotionally engaging legal consultation processes through multi-agent orchestration, significantly reducing model reasoning costs and improving the handling capacity for complex cases and user interaction experience.

The application discloses a digital government project consultation system based on artificial intelligence, and belongs to the technical field of project consultation, which comprises a data acquisition module, a data processing module, a knowledge graph construction module and a project consultation model construction module.The data acquisition module is used for collecting multi-source heterogeneous project information related to historical government projects.The data processing module is used for processing the data collected by the data acquisition module to obtain standardized project files.The knowledge graph construction module is used for extracting triplets in the standardized project files to construct a project knowledge graph.The project consultation model construction module is used for training a deep learning model based on the constructed knowledge graph to obtain a project consultation model.The online project consultation module is used for consulting a project to be consulted, including project scoring, project risk analysis and project legal regulation consultation.The system is used to improve the consultation efficiency through intelligent analysis, and meanwhile, the credibility of the consultation reply is improved.

This invention discloses an intelligent medical aesthetic consultation system and its control method based on RAG and a multimodal large language model. Belonging to the category of multimodal large language model intelligent systems, this system includes multiple functional modules: a customer data acquisition module, an image analysis module, a knowledge base retrieval module, a solution generation module, and a business system interface module. Each module transmits, flows, and calculates data within the system to obtain the aesthetic consultation solution required by the customer, which is then presented on the client side. By integrating RAG knowledge retrieval, a multimodal large language model, and a medical aesthetics-specific knowledge base into the system, it can provide users with professional, personalized, and dynamically updated aesthetic consultation solutions in real time, solving the pain points of existing technologies such as heavy reliance on manual labor, high costs, and inconsistent user experience. This improves the efficiency and professionalism of the system's aesthetic consultation, reduces service costs, and optimizes the entire customer experience, introducing a new intelligent consultation model to the medical aesthetics industry.

The present invention relates to an online consulting system and is an online business consulting solution characterized by providing all information necessary for business activities, such as management, technology, finance, marketing, and psychology, to individuals or companies online using high-speed communication means in accordance with their needs, so that individuals or companies can focus more on their unique business areas and effectively carry out their activities. The invention includes a server processor, an operating program, and a database, and is a web server that is connected online to a customer terminal via an internet communication network. The database comprises a customer information database, a self-development and financing information database, a collateral provision information database, a support system information database, a venture certification information database, a labor market database, and a small and medium-sized enterprise personnel and management database, each of which is converted into a database to provide management support information for individuals and companies, and compares this information with the member's input conditions to provide the information to the member online. Furthermore, to enable the member to comprehensively consult with an expert regarding the output content, the member clicks on the output information for expert diagnosis, thereby transmitting the corresponding input / output information to the solution, comparing and analyzing the member's input information with the stored database, and providing information that matches the corresponding conditions to the member online.

This invention belongs to the field of computer software engineering and project management technology, specifically disclosing a software development process and quality assurance consulting system. The system includes a data fusion and feature extraction module, a causal inference and correlation modeling module, a dynamic strategy generation and optimization module, and a visual decision-making dashboard module. This invention constructs a complete technical closed loop from multi-source heterogeneous data fusion to business value correlation modeling, and then to dynamic strategy generation and visual decision support. Through the data fusion and feature extraction module, the system unifies and characterizes fragmented technical and business indicators at the data level. The causal inference and correlation modeling module applies cutting-edge causal inference methods, surpassing traditional correlation analysis, and establishes a quantifiable causal effect model between changes in technical quality and changes in business performance, enabling management to accurately understand the specific business value brought about by each improvement in code quality or process efficiency.