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@article{176021,
        author = {Premnath K and Pragadeesh K and Sandharas B and Sathish N},
        title = {AI ATS EVALUATOR},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {6432-6435},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176021},
        abstract = {In this project, an intelligent Resume ATS Analyzer is presented, whose function is to help job seekers optimize their resumes to maximize visibility in Applicant Tracking Systems (ATS). With the incorporation of ChatGPT's API, the system analyzes resume files in terms of keyword usage frequency, formatting, and alignment with particular job descriptions. The application provides real-time recommendations to improve content, which is in compliance with industry-standard ATS protocols. This solution is developed with Python and web-based technologies, which enable users to effectively customize their resumes, increasing chances of passing through automated recruitment screening.},
        keywords = {Applicant Tracking System, Resume Screening, ChatGPT API, Resume Optimization, Job Matching, Python Web Development},
        month = {April},
        }