International Journal of Computer Techniques Volume 12 Issue 3 | Smart Recruit: Revolutionizing Recruitment

Smart Recruit: Revolutionizing Recruitment

Smart Recruit: Revolutionizing Recruitment

International Journal of Computer Techniques – Volume 12 Issue 3, May – June – 2025

Authors

Vikas Verma – Dept. of Information Technology, NIET, Uttar Pradesh, India. vikas89535@gmail.com

Vikanshu Chauhan – Dept. of Information Technology, NIET, Uttar Pradesh, India. vikanshuchauhan446@gmail.com

Ram Sajan – Dept. of Information Technology, NIET, Uttar Pradesh, India. ramsajanprajapati67@gmail.com

Dr. Harsha Gupta – Dept. of Information Technology, NIET, Uttar Pradesh, India. harsha.it@niet.co.in

Jatin Yadav – Dept. of Information Technology, NIET, Uttar Pradesh, India. jatinyadav6002@gmail.com

Abstract

Smart Recruit is an **AI-driven recruitment platform** designed to automate and streamline the hiring process for IT organizations. It integrates **Natural Language Processing (NLP), automated code evaluation, facial recognition, and sentiment analysis** to enhance candidate assessments objectively. Developed using the **MERN stack (MongoDB, Express.js, React, and Node.js)**, it offers **secure deployment, scalability, and real-time feedback mechanisms**.

Keywords

AI-based recruitment, Automated Hiring, IT recruitment platform, Candidate Screening, MERN stack, HR Technology.

Conclusion

Smart Recruit revolutionizes talent acquisition by applying **AI-powered techniques** and **automated assessments**. It provides scalability, efficiency, and compliance while ensuring **candidate interaction, performance analytics, and data security**. The platform meets challenges across IT and non-IT domains, delivering **an intelligent and systematic transformation of traditional recruitment workflows**.

References

  1. S. K. Sharma & A. K. Jain (2019). “AI-based recruitment system: A comprehensive review.” International Journal of Computer Applications.
  2. M. A. Khan & S. A. Khan (2018). “Automated recruitment system using machine learning.” International Conference on Computer Communication and Engineering Technology.
  3. R. Smith (2020). “The impact of AI on recruitment processes.” Journal of Human Resource Technology.

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