MRI
MRI India Journals Vol. 14 No. 1 (2025)

Emphasizing Preparation & Development Using AI

Authors

  • K. N. Agalave
  • Vaibhavi Hivarkar
  • Ashwini Hole
  • Kanchan Lokhande
  • Neha Kokane

DOI:

https://doi.org/10.65521/ijacte.v14i1.821

Keywords:

Artificial Intelligence, RAG, QLoRA, Automated Interviewing, Large Language Models, Quantization, Real-Time Retrieval, Simulation, Feedback, Candidate Assessment, GPT-4.

Abstract

This project proposes an Emphasizing Preparation & Development Using AI designed to simulate real world interviews while assessing both technical and soft skills. The system incorporates Natural Language Processing (NLP) for answer analysis, Convolutional Neural Networks (CNN) for facial expression recognition, and Media Pipe for body posture detection. Additionally, video sentiment analysis is employed to evaluate confidence and emotional state. The platform generates dynamic, job-specific technical questions and provides instant feedback on communication, body language, and emotional intelligence. This integrated approach enables candidates to improve their strengths, identify weaknesses, and prepare comprehensively for real job interviews.

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Published

2025-11-09

How to Cite

Agalave, K. N., Hivarkar, V., Hole, A., Lokhande, K., & Kokane, N. (2025). Emphasizing Preparation & Development Using AI. International Journal on Advanced Computer Theory and Engineering, 14(1), 686–688. https://doi.org/10.65521/ijacte.v14i1.821

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