Authors : L. Atri Datta Ravi Tez; Allada Lakshmi Saroja Devi; Karri Alekhya Sai Sriya; Polireddi Swathi Durga; Undrajavarapu Phibe; Kondeti Yamini; Gollamandala. Manaswi

Volume/Issue : Volume 10 - 2025, Issue 4 - April

Google Scholar : https://tinyurl.com/42x5ed28

Scribd : https://tinyurl.com/4zzh6uvn

DOI : https://doi.org/10.38124/ijisrt/25apr1983

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Abstract : The hiring process for new employees is being transformed by artificial intelligence (AI), which makes it quicker, more accurate, and less expensive. AI helps HR teams and job searchers save time and effort by matching the best candidates with the right jobs by analysing vast volumes of data. Instead of wasting time on repetitive administrative tasks, this technology enables job searchers concentrate more on crucial responsibilities. The goal of this project is to develop a platform for AI-driven job recommendations that streamlines the job search. A resume parser is used to extract essential abilities from resumes that users upload. These abilities are matched with job advertisements published by human resources professionals from various places and companies. After that, it shows locations and pertinent job openings. The platform increases productivity by automating the job-matching process, making it easier for job seekers to locate jobs that fit their skills.

Keywords : Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), AI in Recruitment, Job Recommendation System, AI-powered Hiring.

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