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@article{178233,
        author = {Srishti Jain and Janaki Kandasamy and V V S SESHA REDDY KARRI},
        title = {AI Resume Analyzer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {3181-3185},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178233},
        abstract = {This project is all about making the resume screening process smarter and easier. It uses Python and Google’s Gemini AI to help analyze resumes and compare them with job descriptions. The tool can read both text-based and image-based PDF resumes by using smart libraries like pdfplumber and pytesseract. Once the resume content is extracted, it sends the information to Google’s AI, which then gives insights like how well the candidate fits the job, what skills they already have, and what might be missing. This makes it a helpful assistant for recruiters who want to save time, and for job seekers who want honest, AI-powered feedback on their resumes. Overall, it aims to make hiring smoother and more data-driven.},
        keywords = {Resume Screening, Generative AI, Google Gemini, PDF Text Extraction, OCR, Resume Analysis, Job Matching, Natural Language Processing (NLP), Recruitment Automation, Python},
        month = {May},
        }