Automated Video Interviews Using Machine Learning

Automated Video Interviews Using Machine Learning

Yash Agarwall, Shubham Pamecha, Shreyansh Bansal, Asst. Prof. Rashmi K.B

Dept. of Information Science and
Engineering
BMS College of Engineering
Bangalore , Karnataka,India

Abstract—

After the pandemic, Every sector has experienced the impact of change. corona. Many people are unemployed and soon we will see how the world needs more job seekers. Since there is no such process where you can conduct interviews and screening, you must be ready to engage in the recruitment process with IT solutions.

Now we have voice recorders or skype phone alerts that are not yet undergone feature analysis. So, overcoming all these shortcomings and introducing a new era of the interview process is the main goal of the project.

With artificial intelligence systems, we can predict human skills and recommended types of work, as AI will be introduced in today's industry, namely recruitment agencies. By utilizing a range of machine learning algorithms, including the convolutional neural network, Naive Bayes, Random Forest, and SVM, significant progress can be made.. Employee sentiment, voice to text, face to face company verification process will be implemented in this project.

In the future, the system can access user logs that can analyze the effectiveness and efficiency of users. Also, employees are able to get benefit from this system by analyzing their emotions and personality, we can see such a system in future interviews.

Keywords— Naïve bayes, random forest, SVM, convolutional neural network (CNN), TensorFlow, emotion, company verification,resume parsing,image processing,