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@article{187150,
        author = {Akash Ashok Phadtare and Abhijit Sanjay Thorat and Ganesh Motiram Jadhav and Shubham Dattatray Jadhav and Shrikant Nagnath Kadam and Prof. Dr . Sachin Bere and Prof. Miss. Jagtap P.S},
        title = {Resume Builder, Analyser and Job Recomender using Generative AI and ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {3306-3309},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187150},
        abstract = {In the recruitment process, the resume plays a key role in determining whether a candidate progresses to the next stage. However, many applicants struggle to create resumes that are professional, well-structured, and aligned with job requirements. Traditional screening systems and manual evaluation are time- consuming and often fail to accurately match candidate skills with job descriptions. To overcome these challenges, this project presents an AI-based Resume Analyzer and Builder system that uses Natural Language Processing (NLP) techniques to automatically analyze resumes, extract relevant information, and compare it with job descriptions.
The system calculates a resume–job relevance score using methods such as TF-IDF, keyword matching, and cosine similarity, helping users understand the strengths and gaps in their resumes. The Resume Builder module further assists users in creating ATS-friendly resumes through step-by-step guided input and AI- assisted sentence suggestions, along with multiple downloadable professional templates. The application is developed as a web-based platform, ensuring accessibility and ease of use for job seekers.
This system enhances resume quality, increases the chances of shortlisting, and reduces the effort required by both candidates and recruiters. Thus, the project demonstrates the effective use of AI and NLP in improving the job application and hiring process},
        keywords = {Resume Analysis, Applicant Tracking System (ATS), Natural Language Processing (NLP), Machine Learning (ML), Semantic Similarity, Cosine Similarity, TF-IDF, BERT Embeddings, Resume Parsing, Job Description Matching, AI-Based Resume Builder, Skill Extraction, Web Application, Content Recommendation System.},
        month = {November},
        }