The purpose of this project is to help applicants to classify jobs based on their resume. There are various job portals available on the Internet, which consist of thousands of job descriptions. Most of the job descriptions are unstructured and presented in unorganized manner and due to this a user face difficulty in finding relevant and matching jobs. There are web sites which only allow users to use keywords to search the jobs, which makes job searching tedious and blind task. This project uses algebraic information retrieval method of vector space model. The applicants need to upload their resume to the system in order to get the set of job descriptions that match to their resume. Cosine Similarity Algorithm is used for calculating similarity value between the job description and applicant’s resume. This approach will help the users to get the relevant job descriptions and can restrict his/her job searching to some top job description of his/her choice. For experimental purpose, I have taken job datasets from Kaggle websites containing job description from Google Inc. and used resume of file format .txt as a query.