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@article{177636,
        author = {Arin Lale and Aryan Gole and Siddheya Lohar and Ashish Ransing and Dr. Prof. Shraddha Pandit and Prof. Priyanka Deshpande},
        title = {SkillFit.AI: An AI-Based Resume Analyzer},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {1141-1147},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177636},
        abstract = {The rise of Artificial Intelligence (AI) has revolutionized various domains, including recruitment and career development. Many job seekers struggle to craft optimized resumes that align with job market demands, often leading to missed opportunities. SkillFit.AI is an innovative AI- driven solution that analyzes resumes, identifies skill gaps, and recommends relevant courses to enhance employability. Utilizing machine learning techniques and Natural Language Processing (NLP), the system compares a candidate’s resume with job descriptions, providing actionable insights for improvement. This research outlines the methodology behind SkillFit.AI, detailing its key features, algorithmic approach, and impact on improving job readiness. The study also evaluates its effectiveness using real-world data and discusses future enhancements.},
        keywords = {Artificial Intelligence (AI), Google Gemini, Applicant Tracking System (ATS), Natural Language Processing (NLP), resume analysis and parsing, course recommendations, resume optimization, personalized feedback generation, performance dashboard, Generative AI},
        month = {May},
        }