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@article{164606,
        author = {Ayush Duryodhan and Harshita Chandragade and Chetna Bhondekar and Prajwal Kamble},
        title = {Resume Screening Using AI},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {1590-1594},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164606},
        abstract = {In the modern job market, efficiently screening and ranking resumes is crucial for recruiters inundated with a high volume of applications. This project presents an innovative solution leveraging Artificial Intelligence (AI) and web technologies to streamline the resume screening process. Developed using Python, Django, and Vue.js, the system utilizes Optical Character Recognition (OCR) technology for accurate text extraction from resumes. The core functionality revolves around parsing resumes, extracting skill sets, and ranking candidates based on their proficiency levels in relevant skills. Through a user-friendly interface, recruiters can easily upload resumes and receive a ranked list of candidates tailored to the specific skill requirements of the job. By automating the initial screening process, this project significantly reduces time and effort for recruiters while ensuring a more efficient and fair candidate evaluation process.},
        keywords = {Python, Django, Resume Screening, OCR, and AI Based Resume Filter},
        month = {},
        }