Real Time Mock Interview using Deep Learning
Sahil Temgire, Akash Butte, Rohan Patil, Varun Nanekar, Shivganga Gavhane · Zenodo (CERN European Organization for Nuclear Research) · 2021
Real Time Mock Interview Using Deep Learning system is a web application helpful for users to practice for interviews. Nowadays many companies are conducting interviews virtually through online mode. So, this is the need of the day to develop a system where users can practice for these online interviews. This system will help candidates to practice for mock interviews by facing mock interviews. It also provides feedback including facial preference, head nodding, reaction time, speaking rate and volume to let users know their own performance within the mock interview. The system provides speech-to-text conversion for checking grammar in the candidates reply and suggests required corrections. Results are given in a graphical format by using these two or more interviews can be compared to track the progress of the candidates and corrective action will be taken in order to give better performance in the next interviews.