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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

JOBFIT: AN ML-POWERED CHATBOT FOR JOB ELIGIBILITY PREDICTION

M. Keerthi Avuku Obulesu Bushra Begum D.Harika Redddy E.Sheshadri V.Mamatha

Information Technology Department

Vidya Jyothi Institute of Technology (Affilated to JNTUH)

Hyderabad, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

JobFitBot is a machine learning–powered chatbot developed to predict job eligibility and support job seekers in identifying roles that best match their qualifications and skill sets. The system collects user information such as educational background, technical and soft skills, certifications, and work experience through an interactive chatbot interface. Machine learning models analyze this data and compare it with job requirement datasets to determine eligibility scores and recommend suitable job profiles. The chatbot provides real-time feedback, personalized suggestions, and guidance to help users understand their strengths and areas for improvement. By automating the eligibility evaluation process, JobFitBot reduces manual screening efforts, improves accuracy in job matching, and enhances the overall efficiency of the recruitment process. This approach benefits both job seekers and recruiters by enabling faster, data-driven, and user-friendly decision-making in today’s competitive employment environment. Domain: Artificial Intelligence (AI) and Machine Learning (ML)

How to Cite this Paper

Keerthi, M., Obulesu, A., Begum, B., Redddy, D., E.Sheshadri, & V.Mamatha, (2026). Jobfit: An Ml-Powered Chatbot For Job Eligibility Prediction. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.064

Keerthi, M., et al.. "Jobfit: An Ml-Powered Chatbot For Job Eligibility Prediction." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.064.

Keerthi, M.,Avuku Obulesu,Bushra Begum,D.Harika Redddy, E.Sheshadri, and V.Mamatha. "Jobfit: An Ml-Powered Chatbot For Job Eligibility Prediction." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.064.

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Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
  • Authors retain copyright.
  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 22 2026
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