Yunkao AI is an AI service platform for online exam scenarios, positioned as a stable and efficient AI online exam service platform, with core capabilities built around AI intelligent test paper generation, AI intelligent invigilation, and AI intelligent evaluation.
In terms of purpose, the platform serves the organization and implementation of online exams, covering stages such as waiting for the exam, interview communication, test paper generation, invigilation, scoring, and data analysis. It can be used in scenarios requiring remote exams, online interviews, or large-scale online assessments.
The main capabilities include: First, AI intelligent invigilation. The platform establishes automatic invigilation level standards and combines them with a three-random strategy to help ensure exam fairness; at the same time, it ensures information and data security and identity security through a combination of software and hardware. Second, high concurrency and cloud deployment. The servers use global cloud deployment, feature a highly elastic on-demand scaling architecture, and support millions of concurrent users. Third, online exam waiting and interviews. Candidates uniformly enter the online waiting area to queue and wait, and are invited by examiners to enter the interview room; examiners can view candidates' audio and video in real time and can communicate with candidates via audio and video or text. Fourth, intelligent test paper generation. The platform can enter multiple types of questions and, through flexible test paper generation, achieve "a thousand people, a thousand papers." Fifth, abnormal behavior analysis and risk marking. The platform can analyze candidates' abnormal operations and abnormal behaviors and mark cheating risks, thereby freeing up manual invigilation. Sixth, intelligent scoring and data analysis. Objective questions can be scored automatically, and it supports AI analysis of examination room data and test question data. Seventh, data visualization. The platform visualizes, makes intuitive, and concretizes the collected data to support relevant decision-making.
In terms of usage, the materials mention that candidates uniformly enter the online waiting area to queue and wait, and are invited by examiners to enter the interview room; examiners can view candidates' audio and video in real time and conduct audio and video or text communication. Other specific operating procedures, account activation methods, deployment methods, and access methods are not yet provided.
In terms of applicable scenarios, reference can be made to the platform's capabilities for AI online exams, online interviews, large-scale high-concurrency exams, assessment scenarios requiring AI invigilation and cheating risk analysis, and scenarios requiring automatic scoring and exam data analysis.
In terms of limitations, the materials do not explain the specific charging model, prices, supported platforms, interface availability, upper limits on question types, deployment cycle, data retention policy, or specific usage restrictions. The above content is not yet provided.
