Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{199969,
        author = {Lavanya G and C.Ganesh},
        title = {Design and Development of an AI-Based Job Recommendation System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {4341-4344},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199969},
        abstract = {The development of online job portals has led to an increase in the availability of job opportunities. However, at the same time, it has created challenges in helping users find the right jobs based on their skills and interests. This paper focuses on the design and development of an AI-based job recommendation system that assists users in identifying suitable job opportunities in an efficient manner. The system utilizes machine learning algorithms and data analysis techniques to analyze the users’ profiles based on their educational background, skills, and experience. The proposed system aims to facilitate the job search process by reducing the complexity and enhancing the accuracy of the job matching process. The system is created in the form of a web application where users can register their accounts and upload their resumes to obtain suitable job recommendations.},
        keywords = {},
        month = {May},
        }