International Journal of Scientific Research and Engineering Development

Finding a good job these days feels really tough for people looking. A lot of the job sites out there just use basic keyword searches and those fixed filters that do not really personalize anything. That means qualified people might not even see openings that fit them, and recruiters end up wasting hours sifting through stuff by hand. It seems like there's a big gap there. On the other hand, things like conversational AI and resume parsing have gotten way better lately, along with systems that explain how they work in hiring. This opens up chances to make job platforms that interact more, run smoother, and actually pay attention to skills instead of just words on a page. I think that’s where something new could make a difference. So this paper talks about AIJobMate, which is basically an online job portal that’s smart and pulls together a chatbot for talking, automatic parsing of resumes, and matching based on skills. Its meant for both the job seekers and the people hiring. The chatbot helps with searching, answers questions about jobs, and walks users through the site, kind of like a guide. Then there’s the part that takes your uploaded resume and pulls out details on skills, education, what you’ve done before, so it can line up with job postings. Putting all that into one setup should cut down on how long job hunting takes, make suggestions more on point, and help recruiters pick candidates faster without so much hassle. The paper goes over why this matters, some background from other studies, how the system breaks down, its overall design, how to build it, and what could come next in AI for recruiting. Not everything is fully figured out yet, but it fits into how this field is changing.

V. Udayakumar, A. Karunamurthy, Mohana Priya B,"AI JobMate: An Intelligent Web-Based Job Portal with Conversational Chatbot and Resume Parsing for Skill-Based Job Matching" International Journal of Scientific Research and Engineering Development, V9(3): Page(904-911) May-June 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.