8 results about "Internship" patented technology

This invention discloses a career path planning method and system based on LLM (Multi-Agent Learning). The method first generates a set of target constraints through intent and constraint parsing and requirement clarification. Then, it constructs individual ability profiles and job-specific quantitative profiles. Next, based on ability gaps, it generates task packages level by level along stage boundaries and supplements prerequisite dependencies, forming a set of candidate task packages. Finally, addressing the problem that traditional sorting or traversal methods struggle to balance search efficiency and path quality due to the large candidate task package combination space, complex dependencies, and coexisting time and risk constraints, an improved Monte Carlo tree search algorithm is employed to filter invalid search branches in real time, efficiently searching and outputting career goal paths with better comprehensive scores. This invention improves the search efficiency, path quality, and interpretability of career goal path generation under complex constraints and can be widely applied to career development scenarios such as internships, campus recruitment, social recruitment, and entrepreneurship.

The invention discloses a medical internship student assessment management method and related equipment. The method comprises the following steps: acquiring an operated object key point, a student hand key point and an instrument target in an operation video of a trainee, and identifying each operation action step of the trainee; identifying the medical care document content of the trainee, and obtaining a simulation object and peripheral sensor data for practical operation of the trainee, so as to respectively calculate a sensor quantitative index vector and a document quality vector of the trainee; and inputting a video score vector, a sensor quantitative index vector and the document quality vector obtained based on the operation action step analysis into a multi-modal fusion model based on an attention mechanism to obtain a comprehensive assessment score of the student. The problems that assessment of medical skills of students seriously depends on subjective observation and manual recording of teachers, objective, quantitative and traceable assessment means are lacked, and evaluation consistency and fairness are difficult to guarantee can be solved.

The embodiment of the invention relates to the technical field of data processing, and provides a to-be-internalized student internship post adaptation method and a related device, and the method comprises the steps: obtaining internship enterprise post API data and to-be-arranged internalized student behavior data; determining enterprise demand post data according to the internship enterprise post API data; according to the behavior data of the to-be-arranged internship students, determining student ability deviation vectors by adopting a multi-source data fusion algorithm; and inputting the student ability deviation vector and the enterprise demand post data into a pre-trained multi-target decision model to obtain an internship post adaptation result, so that internship enterprise post demand information and student multi-source behavior data can be effectively integrated, and through scientific data processing and model calculation, the internship post adaptation result is obtained. The matching degree between the student ability and the enterprise post demand is comprehensively and accurately measured, and the technical problems that a traditional practice post distribution mode is high in subjectivity and inaccurate in matching are solved.

The invention discloses a medical internship student information management method and related equipment. The method comprises the steps that a medical college and a practice hospital carry out model training locally to obtain local model parameter updating; under the condition of not exchanging local original training data of each terminal, generating a global optimization practice management model shared by each terminal through a federated learning algorithm based on local model parameter updating so as to distribute the shared global optimization practice management model to medical colleges and the practice hospitals; students to be internalized in a medical college are evaluated based on the global optimization internship management model, a matched internship cultivation plan is recommended, multi-dimensional ability evaluation is performed on the students based on the model, constraint conditions are comprehensively considered, and the matched internship cultivation plan is recommended for the students. The problem that medical internship management between hospitals and colleges mainly has data islands and collaborative barriers between hospitals and colleges is solved, and the scientificity and efficiency of internship management are improved on the premise that privacy is protected.

The present invention relates to a cloud-based workforce development and readiness platform supporting career exploration, workforce development, skills enhancement, and personal growth for students and young adults using a gamified learning approach. The platform comprises a dual SaaS / WaaS™ architecture, including a Software-as-a-Service (SaaS) module for learners and a Workforce-as-a-Service (WaaS™) module for employers, educators, and partners, enabling bidirectional data flows across the ecosystem. The platform further includes a modular AI-powered assistant (GT3S), implemented as a knowledge-based large language model trained on accredited and proprietary workforce data sources, configured to provide personalized guidance, mentor-matching signals, curriculum alignment, and predictive workforce analytics. Users engage with structured programs based on four developmental pillars, earning points and incentives tied to workforce readiness outcomes, including certifications, internships, and employer-aligned skills benchmarks. The system also provides multi-stakeholder dashboards for learners, mentors, educators, and employers, integrating customer relationship management, learning management, e-commerce, donation management, and recruitment functions on a secure cloud infrastructure to create a comprehensive ecosystem for workforce pipeline development.

This invention relates to the field of management system technology and discloses an internship and employment information management system based on blockchain technology. The system includes: a business monitoring module that acquires business characteristic data from the mentor's end within the collaborative system; a logic inquiry module that generates inquiry instructions with causal relationships based on task node attributes and transmits these instructions to the student's terminal; an environment verification module that simultaneously captures the wireless signal fingerprints of both parties' environments and calculates the overlap when the student provides response credentials; and a credit evaluation module that determines the authenticity score of the internship behavior based on the response time difference and the overlap. This invention establishes a deep binding relationship between business actions and physical evidence through a collaborative mechanism that simultaneously verifies business logic inquiry and physical on-site characteristics. This fundamentally blocks the path to fraud between mentors and students, ensuring the authenticity of internship credit records.

The invention discloses a medical internship student in-hospital authority management method and related equipment. The method comprises the following steps: querying related information in a hospital personnel system and a scheduling system based on student identities to establish attribute portraits of students; when an access request of the student is received, collecting a real-time context attribute associated with the identity of the student, and calculating an instant access permission result based on the real-time context attribute and a matching rule of the dynamic permission control strategy; and accepting the access request under the condition that the authorization conclusion indicates that access is allowed and the minimum data visibility matrix covers the required authority of the access request. The problems that in order to guarantee patient privacy and electronic medical record safety, the permission of the intern must be strictly limited, a huge contradiction exists between the permission and the clinical requirement that the intern needs to fully learn and observe and emulate, and traditional permission management is static and extensive and cannot meet the refined and dynamic safety management requirement can be solved.

The invention discloses a flow standardization VR teaching system based on blood management, and relates to the technical field of medical education, and the system comprises a multi-terminal interaction scene module, a VR terminal supports three-person collaborative blood collection, examination and blood transfusion, a PC terminal supports keyboard and mouse simulation somatosensory, a mobile terminal supports touch gestures, and a laboratory scene restored according to a teaching outline 1: 1 is constructed; according to the cooperative training and assessment module, a grouping server supports 8-group synchronous training, real-time synchronous operation pictures in groups are realized, and team adaptability indexes and cooperative track consistency requirements are assessed; and the resource updating and data management module is used for storing 10 classes of courses and new equipment models, pushing the courses and new equipment models after the courses and new equipment models are audited by medical teachers, recording cooperation logs and generating individual-group-class three-level capability reports. The system improves the practical operation and cooperation ability of students through somatosensory interaction, meets different learning scenes through multi-terminal adaptation, effectively improves the blood management teaching quality, and lays a foundation for clinical practice.