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@article{186618,
        author = {Shaikh Tarannum Jakirhusen and Kalane Aditi Vinod and Chougule Anjali Namdev and Bhoyate Tejasvi Santosh and Dhumal Sonali S},
        title = {Resume Builder, Analyzer and Job Recommender using Generative AI and ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {1481-1484},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186618},
        abstract = {The AI-Powered Resume Builder and Job Recommender System leverages Generative AI, Natural Language Processing (NLP), and Machine Learning (ML) to automate resume creation, analysis, and job matching. The system includes three modules: a Resume Builder that generates professional, ATS-compliant resumes using AI; a Resume Analyzer that evaluates and optimizes resumes through ATS scoring and improvement suggestions; and a Job Recommender that identifies and ranks suitable job opportunities using semantic similarity and API integration. This integrated approach minimizes manual effort, enhances resume visibility, and delivers personalized job recommendations, improving the overall efficiency of the recruitment process.},
        keywords = {Artificial Intelligence (AI), Generative AI, Natural Language Processing (NLP), Machine Learning (ML), Applicant Tracking System (ATS), Resume Optimization, Job Recommendation System, Semantic Matching, Text Analytics, API Integration.},
        month = {November},
        }