International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Smart Placement Kit: An AI-Powered Learning Management System for Interview Preparation

Author(s) Mr. ASHUTOSH VIJAYKUMAR KHEDKAR, Mr. SARTHAK UTTAM DONGARE, Mr. ADITYA TATYASAHEB JADHAV, Ms. SAKSHI SANTOSH MANE
Country India
Abstract The Smart Placement Kit is an AI-powered Learning Management System (LMS) designed to enhance student readiness for technical interviews and placements by providing personalized, data-driven preparation. It integrates natural language processing, computer vision, and generative AI to simulate realistic interview environments and deliver comprehensive performance feedback. The system analyzes facial expressions, attention, verbal responses, and coding performance to assess both technical and soft skills. Using LLMs, CNNs, and machine learning, it evaluates communication clarity, problem-solving strategy, confidence, and engagement levels. Through AI-driven mock interviews, adaptive learning paths, and real-time feedback, the platform enables students to track progress, identify weaknesses, and develop holistically. Generative AI techniques like GANs and diffusion models further enhance realism by creating immersive, dynamic interview simulations, offering a scalable, personalized, and innovative approach to modern placement preparation.
Keywords Convolutional Neural Network (CNN), Large Language Models (LLMs), Computer Vision, AI Video Simulation, Natural Language Processing (NLP), Attention Span, Generative AI, Generative Adversarial Networks (GANs), Real-time Feedback
Field Computer Applications
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-11-13
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.60359
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals