Nowadays, due to tough competition, companies are receiving copious applications for a single post. Consequently, companies have to deal with plethora resumes from the candidates. Human & Resource have to examine each resume one-by-one and make a log of prominent candidates. Process is much time consuming as well as HR has to work with great diligence. Process has become an onerous for HR department as it is utterly a manual process. To simply this process and reduce the work of HR’s, here we introduce “Ranking-the-Resume”.

“Ranking the Resume”, an automated process, will help the company by reducing their headache of dealing with large number of resumes in short span of time. User will upload the bulk of resumes and system will scrutinize each resume one by one and rank them as per company’s resume ranking policy. A more detailed description of workflow is given below.

Initially, using front-end technology like HTML5, CSS3 and Bootstrap we built a web application, wherein company, as a user, will create their account to access this facility. Python based web application built using Flask framework and SQLite database. User can upload any number of resumes, which will be garner by the system for the further process. After this, system will start scanning the main keywords and their corresponding value. NLP is use for this purpose. Those values are then stored in the database with specified keyword. Similar process will take place for each resume. After each resume is stored in the database, they are rank as per company’s resume ranking policy. Here each company may have their own ranking policy. Moreover, system is compatible with it. Finally, system will give resumes in ranked/shorted manner.