International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 13 Issue: 03 | Mar 2026
p-ISSN: 2395-0072
www.irjet.net
“From Resume to Recruitment: A Generative AI-Based Smart Placement and Interview System” Pratik S Dhamodkar1, Vedant U Nagpure2, Samruddhi Kale3,Vaishnavi Jadhav4,Uttam Navkar5, Prof.R.R.Bhale6 12345UG student, Dept. of Information Technology,Mauli College of Engineering and Technology,Shegaon,
Maharashtra, India
6Assistant Professor, Dept. of Information Technology,Mauli College of Engineering and Technology,Shegaon,
Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------
Abstract - Companies today are using sophisticated
help them prepare for interviews; therefore, there is an "integration gap" between how prepared job seekers are and how well-prepared the job market expects them to be (1, 2).
Artificial Intelligence (AI) technologies to filter through applications while the applicants use manual processes to prepare for a new job. This research paper will describe the AI-Powered Placement Management System (“AIPMS”), a full cycle solution to help create a new system of placing applicants into a new job. AIPMS is built on Generative AI including Llama 3.2 and Google Gemini, which will provide automatic, semantic resume analysis and dynamic, real-time mock interview capability. AIPMS utilizes a combined algorithmic methodology consisting of the BM25 ranking model and Cosine Similarity (“COS”) to mathematically solve for the optimal fit of an applicant to a job by providing the optimal match of the job criteria with the applicant profile. Additionally, AIPMS includes “Affective Computing” and WebSocket-based Voice Agents to measure both course and behavioral metrics, including confidence and clarity of communication, therefore obtaining a full perspective of each applicant’s qualifications. Finally, there are dedicated dashboards for TPO and HR, supporting a transparent system for the institution’s oversight process and streamlining the hiring process of a corporation. AIPMS represents a paradigm shift from a manual approach to placing an applicant in a job (“one-size-fits-all”) to a datadriven career pathing solution. This research will demonstrate the significant improvements of employability through the utilization of advanced technology solutions, reducing the bias in recruiting, and enhancing the global recruiment life cycle.
1.1 The Problem of Manual Placement Workflows Traditional placement processes are often fragmented and manual. Many job seekers struggle with resume optimization, interview readiness, and job discovery due to a lack of guidance Traditional employment placement processes tend to be both fragmented and manual; therefore, many jobseekers struggle to optimize their resumes, feel prepared for interviews, or discover available jobs because they lack access to proper guidance and/or data-informed insights (3). Based on the numerous student profiles that must be matched to the respective company’s needs, it is inefficient to manage all of those students’ profiles manually, which can also lead to human error when implementing this process (3, 4). It has also been shown that mock interviews do not consistently provide students with objective, repeatable, and scalable feedback; as a result, students will not be prepared for the rigour of today’s professional technical and behavioural assessments (1, 5).
1.2 The Emergence of Smart Placement Analytics To help fill this gap, the latest research discusses the "Smart Placement Kit" (or "AI-Powered Placement Management System (AIPMS)") — a full-cycle recruiter that provides support and guidance throughout the student hiring process for both students and placement officers (1, 3). By employing Generative AI (ex: Llama 3.2 or Google Gemini), each component is leveraged: - Automated Resume Analysis - Intelligent Interview Preparation (1, 3). Large Language Models allow these platforms to provide a more human-like interface and deeper semantic understanding of candidate data (1, 5).
Key Words: AI Recruitment, Placement Analytics, Generative AI, Resume Parsing, Mock Interview,Career Readiness.
1. INTRODUCTION As a result of advancements in artificial intelligence (AI), businesses are increasingly utilizing data-driven, algorithmbased methods when hiring talent. As the job market continues to become more competitive, job seekers cannot just rely on their academic qualifications but must have good resume writing skills, prepare for interviews, and find jobs that fit their skill set (3). Unfortunately, many job seekers lack access to advanced AI technologies that could
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