The proposed system is developed on the basis of the implementation steps shown in (Figure 1). The candidate has to undergo the registration and login process, then they can create their profile along with CV. Followed by this process, a candidate can give tests to get scores. The TF-IDF algorithm is used to perform the analysis as a graph in terms of the programming skills on x-axis and the respective scores on y-axis. These scores will help recruiters in selecting the right candidate. The architectural workflow in a sequential process is depicted in (Figure 2). Workflow shows the interaction among the entities such as Job seekers, Admin and CV Analysis etc. Below. we explain the three entities in detail: For example, as shown in (Table 3), Python is appeared under four sections, 1.e. Skills, Certifications, Projects, Work Experience. In our system, if we want to select a candidate, with the skill-set of ,,Python“ according to the job requirement. We can count the number of occurrence of Python“ in the CV using TF-IDF Algorithm. If the count of Python word is having higher occurrence frequency then, that CV will be shortlisted for the selection. Our system is implemented using Microsoft Visual Studio and MS SQL Server Management Studio. In thie eection we nrecent the workine of our aniline evetem Now in the next cection we analyze the ohtained recaulte
