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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 04

Published on: April 2026

SMART HIRE: AI-DRIVEN RECRUITMENT AND CODING ASSESSMENT SYSTEM

Sowndarya.V Oviya.R Subhiksha.S Iyswarya K Varshini.G

Department of Information Technology Sri Shakthi Institute of Engineering and Technology

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Traditional recruitment systems rely heavily on manual screening and static evaluation methods, which often lead to inefficiencies, bias, and limited insight into candidate capabilities. The Smart Hire AI-Driven Recruitment and Self-Assessment Platform addresses these limitations by introducing an intelligent, full-stack web-based solution that enables automated, data-driven technical hiring. The system adopts an AI-assisted evaluation approach to continuously assess candidate performance through coding challenges, mock interviews, and structured assessments, eliminating dependency on one-time evaluation processes.


The platform integrates a dynamic performance tracking module that monitors user progress over time, capturing metrics such as problem-solving efficiency, accuracy, and skill proficiency. These metrics are processed to generate personalized feedback, enabling candidates to identify strengths and improvement areas. On the recruiter side, a centralized analytics dashboard provides real-time insights into candidate performance, facilitating efficient shortlisting and informed hiring decisions through data visualization and automated reporting.

How to Cite this Paper

Sowndarya.V, , Oviya.R, , Subhiksha.S, , K, I. & Varshini.G, (2026). Smart Hire: AI-Driven Recruitment and Coding Assessment System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.226

Sowndarya.V, , et al.. "Smart Hire: AI-Driven Recruitment and Coding Assessment System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.226.

Sowndarya.V, , Oviya.R, Subhiksha.S,Iyswarya K, and Varshini.G. "Smart Hire: AI-Driven Recruitment and Coding Assessment System." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.226.

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References


  1. js Official Documentation – https://react.dev

  2. Spring Boot Documentation – https://spring.io/projects/spring-boot

  3. MySQL Database Documentation – https://dev.mysql.com/doc/

  4. OpenAI AI Technologies and Documentation – https://openai.com

  5. Oracle Corporation MySQL Database Resources – https://www.oracle.com/mysql/

  6. GeeksforGeeks Programming and Technical Interview Resources – https://www.geeksforgeeks.org

  7. Stack Overflow Developer Community and Problem Solving – https://stackoverflow.com

  8. Google Research Papers and AI Resources – https://research.google

  9. IEEE Research Articles on AI and Recruitment Systems – https://ieeexplore.ieee.org

  10. ACM Computing Research Publications – https://dl.acm.org

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: Apr 17 2026
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This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.

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