Design And Implementation Of Intelligent Recruitment System Based On Deep Learning

In recent years,with the rapid development of the Internet,all walks of life have been making rapid progress.In this context,the demand for talent in various industries is increasing.At the same time,with the improvement of education,more and more graduates are moving to work every year,which has led to an increase in the number of job seekers.Nowadays,major companies usually publish job information in their own companies to attract job seekers to submit resumes.Job seekers need to fill in multiple information and submit resumes on the websites of major companies in order to find their favorite jobs,causing waste of resources.The waste leads to the difficulty of finding a job.Based on the above reasons,this paper designs and develops a recruitment application system that can solve the talent and company recruitment needs from the perspective of deep learning image recognition technology and mobile platform application.The object detection technology based on deep learning is used to design and implement a local image verification system,and the server-side message verification system is further used to prevent malicious access of the program.While protecting system security,it is also an experiment to embed a deep learning network model in mobile platform applications.The main work of this paper is:1)Designed and implemented a smart recruitment system based on iOS mobile platform,which is aimed at recruiters and job seekers,providing an integrated service process for both parties.2)Compared with the target detection algorithm model,the SSD algorithm suitable for this subject is selected,and the SSD algorithm model is used as the basic framework for subsequent improvement.3)Because of the performance limitations of mobile devices,it is necessary to improve the algorithm in combination with the reference data,and to simplify the model under the premise of ensuring the accuracy of the model.4)The streamlined model is ported to the mobile platform and embedded as a verification module of the smart recruitment system into the mobile application.5)Test and demonstrate the effects of the system on the development of a complete smart recruitment system.