Career Advice System Design Based on Neural Network

In recent years, due to the continuous development of Chinese enterprises, the demand for talents is also increasing, but the factors considered by enterprises when selecting employees are multifaceted. In order to provide suggestions and references for enterprises to select talents, this paper collects the employment situation of graduates from electrical engineering college of a university in the past three years, and analyzes the data based on neural network. The analysis results are used as part of job recommendation for employment guidance system design. The innovation is that users do not need to master the neural network algorithm, they can enter personal information after entering the system and directly use the algorithm, get the best candidate recommendation result for a certain position, and realize the application of neural network algorithm. This paper provides some suggestions for enterprises to select talents, and at the same time provides an effective reference for the employment guidance of the education cause of the majority of colleges and universities.