International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Careerpulse AI: An Intelligent Job Application Tracking System with Machine Learning-Driven Candidate Profiling and Predictive Analytics |
|---|---|
| ABSTRACT | The AI-Based Intelligent Job Application Tracker is an online application that aims to assist students and job applicants in optimizing their job search process using artificial intelligence. The application is built using Java and Spring Boot, making it scalable, reliable, and maintainable. The application uses a relational database to safely store user profiles, resumes, job postings, and application status. The application uses natural language processing to identify key information like skills, work experience, and educational background from resumes and job postings. A matching algorithm is used to match candidate profiles with job postings to determine the suitability score for each job. Moreover, a machine learning algorithm is used to predict the probability of getting an interview call and identify missing or low-weight skills that can impact the selection process. The application has an interactive dashboard that shows application counts, company responses, success rates, and skill suggestions. By integrating modern web technologies with artificial intelligence, this project can be considered an optimal decision-support system for job seekers and final-year students, with immense possibilities for future upgrades and real-time job portal integration. |
| AUTHOR | E. MADHUMITA, DR. M. SENTHILKUMAR, BALA GANESH S, GOVIDARAN C Assistant Professor, Department of Artificial Intelligence and Data Science, Kongunadu College of Engineering and Technology, Trichy, India Professor, Department of Artificial Intelligence and Data Science, Kongunadu College of Engineering and Technology, Trichy, India Department of Artificial Intelligence and Data Science, Kongunadu College of Engineering and Technology, Trichy, India |
| VOLUME | 182 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1403019 |
| pdf/19_Careerpulse AI An Intelligent Job Application Tracking System with Machine Learning-Driven Candidate Profiling and Predictive Analytics.pdf | |
| KEYWORDS | |
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