Open Access Open Access  Restricted Access Subscription Access

Conversational Interview and Training Assistant

Aswin K, Augustin C Benny, Edwin Moncy K, Ken T, Dr. Swapna B Sasi

Abstract


This study focuses on creating a web platform for virtual job interview practice using speech synthesis, speech recognition, question generation, facial recognition, and an LLM model. The platform generates interview questions from resumes/job details, provides model answers, offers a chatbot with speech tools, and a human avatar with lip-syncing and facial recognition feedback. Key outcomes show the platform's effectiveness in simulating real interviews, providing personalized critique, and improving interview skills. Implications include applications in career development, interview preparation, and training programs for an immersive approach to enhancing interview proficiency.


Full Text:

PDF

References


M. Laiq and O. Dieste, "Chatbot-based Interview Simulator: A Feasible Approach to Train Novice Requirements Engineers," 2020 10th International Workshop on Requirements Engineering Education and Training (REET), Zurich, Switzerland, 2020, pp. 1-8.

C.M. Lorenzo (2024) INTEGRATING LARGE LANGUAGE MODELS FOR REAL- WORLD PROBLEM MODELLING: A COMPARATIVE STUDY, INTED2024 Proceedings, pp. 3262-3272.

A. Sun, X. Zhang, T. Ling, J. Wang, N. Cheng, and J. Xiao, "Pre-Avatar: An Automatic Presentation Generation Framework Leveraging Talking Avatar," in 2022 IEEE 34th International Conference on Tools with Artificial Intelligence (ICTAI), Macao, China, 2022 pp. 1002-1006.

A. Jaiswal, A. Krishnama Raju and S. Deb, "Facial Emotion Detection Using Deep Learning," 2020 International Conference for Emerging Technology (INCET), Belgaum, India, 2020, pp. 1-5.

H.-Y. Suen, K.-E. Hung, and C.-L. Lin, “Tensorflow-based automatic personality recognition used in asynchronous video interviews,” IEEE Access, vol. 7, pp. 61018– 61023, 2019.

P. S. Devi, S. Sarkar, T. S. Singh, L. D. Sharma, C. Pankaj, and K. R. Singh, “An approach to evaluating subjective answers using bert model,” pp. 1–4, 2022.

P. V. Prasad, N. Krishna, and T. Jacob, “Ai chatbot using web speech api and node.js,” pp. 360–362, 2022.


Refbacks

  • There are currently no refbacks.