AI-Based Training and Placement Assistance

Authors: Prof. C. P. Lachake, Vivek Baraskar, Akshat Balgude, Sanket Konale, Kunal Bhagat

Abstract: In the present generation, focuses on developing a smart web-based system to support students in the placement process using Artificial Intelligence (AI) and Machine Learning (ML) techniques. The system analyzes student academic backgrounds, skills, and test performances to provide personalized placement recommendations and training guidance. It also matches eligible students with suitable job opportunities based on company criteria. This system includes a Skill Test module that evaluates the student’s technical and aptitude abilities through multiple-choice questions (MCQs). Based on the test scores and academic data, the system predicts whether a student is eligible for further placement rounds. The integration of AI ensures data-driven and fair decisions, reducing manual effort by placement officers and improving the efficiency of the recruitment process. The proposed solution bridges the gap between students and recruiters by providing an automated, intelligent, and reliable platform for training, assessment, and placement assistance.

DOI: https://doi.org/10.5281/zenodo.20132833