Student Analysis System for Training and Placement

Abstract

According to the survey done by aspiring minds on Annual Employability in 2019, only 2.5% of students have the technical skills that are required for industry, and 80% of engineers do not possess the skills that are necessary for the industry. Engineering employability rates can be improved when we have student analysis data to understand their performance in every aspect. So, to decrease the unemployability rate, we are proposing a Student Analysis System that gives students a performance report for analyzing student strengths and weaknesses in various company’s recruitment exams. The system is entirely automated by using various techniques to minimize the work of the Training and Placement Department. The information about the student, which is available in the portal, can be shared with the various recruiters based on the eligibility criteria, skills, and requirements of the company. The front-end of the platform is developed by using HTML, CSS, JavaScript, backend of the platform by using PHP. And along with the Xamp web server.