Smart Interview: AI-Driven Interview Automation with Candidate Performance Analysis

MS.S.SHAHEEN 1
Assisstant Professor, Department ofAI&DSAnnamacharya Institute of Technology
and Sciences, Tirupati – 517520, A.P.shaheenshaalu@gmail.com
T Samyuktha 4
Student, Department of AI&DSAnnamacharya Institute of Technology
and Sciences, Tirupati – 517520, A.P.Reddysamyuktha03@gmail.com
K Vinodh 2
Student, Department of AI&DSAnnamacharya Institute of Technology
and Sciences, Tirupati – 517520, A.P.kadapavinodh@gmail.com
S Pravllika 5
Student, Department of AI&DSAnnamacharya Institute of
Technology and Sciences, Tirupati –517520, A.P.
pravallikapravallika528@gmail.com

M Sandhya 3
Student, Department of AI&DSAnnamacharya Institute of Technology
and Sciences, Tirupati – 517520, A.P.Sandhyareddy4342@gmail.com

Abstract— In many organizations, technical interviews can be quite different depending on the interviewer, and this can cause inconsistencies, biases, and scaling issues in the interview process. To address these issues, this paper presents an intelligent interview system that employs a Large Language Model (LLM) to automate the entire technical interview process. The system offers role specific questions depending on the job description of the candidate and allows administrators to define parameters such as difficulty level, number of questions, and type of questions. The system allows different types of question formats, including descriptive, coding, and multiplechoice questions. For the purpose of validation in evaluation, the system employs structured validation for multiple-choice questions, without revealing the answers, and employys LLM scoring for descriptive answers. To maintain integrity in remote technical interviews, thesystem allows the use of lightweight proctoring features such as motion detection and tab switching. The system also allows automated scoring, summary, and email notification. The experimental results show that the systemimproves consistency in scoring, automates the process, and scales the interview process. The proposed system is a practical and flexible solution for AI recruitment.