Design of a College Student Employment System Platform Based on Artificial Intelligence

In order to meet the employment needs of most college students, the author proposes an artificial intelligence based college student employment system. The author analyzed the needs of college student employment platforms and designed a college student employment system based on database and internet technology. Firstly, the overall architecture of the system is introduced from the aspects of system functions, databases, network structure, etc. Then, the implementation method of the system is introduced using key modules as examples. Finally, the system is tested from both performance testing and functional testing. The test results show that even under the highest user load (500 people accessing simultaneously), the response time of the system remains within the range of less than 2 seconds. This indicates that the system can quickly respond to user requests and provide a good user experience. The test also measured the CPU usage of the server. Even under high load conditions, the CPU utilization rate of the system is only 10%. This means that the server resource utilization is low, and there is still a lot of room to handle more user requests, thereby ensuring the scalability and stability of the system. The system proposed by the author has been verified to have the advantages of rich functionality, safety and stability.