• Jasneet Singh Sawhney
• Jasmeet Singh Sodhi
• Maninder Bir Singh Gulshan

This paper presents a review on various techniques on predicting the interview performance autonomously using machine learning techniques and analyze the audio-visual features using an interface-based video interview by a virtual agent. Different scenarios are studied and compared for a better understanding of human behavior in case of the video interview. In this paper, the existing optimization techniques are reviewed according to their methodologies and advantages. Based on the review, research gaps are observed and the references are provided for further research work.

Interface based video interviews, Automatic job prediction, Machine learning for job prediction, Nonverbal behavior prediction, Regression, Deep learning for audio-visual predictions.

"Analytical feature extraction for Individual assessment through Machine Learning in Interface based Interview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.94-97, June-2019, Available :http://www.jetir.org/papers/JETIRCO06020.pdf

"Analytical feature extraction for Individual assessment through Machine Learning in Interface based Interview", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp94-97, June-2019, Available at : http://www.jetir.org/papers/JETIRCO06020.pdf