AI Based Mock Interview Analyst

AI Based Mock Interview Analyst

Nishant R More , Jaydev D Surve , Tanay S Torne
CO Author :  Asst. Prof. P.Y.Sanvatsarkar

Nishant R More CSE SIER,Agastkhind Nashik
Jaydev D Surve CSE SIER,Agastkhind Nashik
Tanay S Torne CSE SIER,Agastkhind Nashik

CO Author : Asst. Prof. P.Y.Sanvatsarkar CSE SIER,Agastkhind Nashik

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Abstract –

Interviews are extremely important for a candidate because it is the time when all your hard work is put on the line to get on some desired fruitful outcomes in life. It is desired extremely important our educational system and recruitment process since they aid in the selection of the right candidate bused on the required skills. Mock interviews can boast our confidence and communication skills which can help to perform better. This paper proposed an Al-based mock interview platform that would operate as an intermediatory between the actual interview and preparation mode. Our system will assess the user based on an aggregation of three parameters called emotions, confidence, and knowledge base. For knowledge assessment, keyword mapping, semantic analysis technique is used and web scraping module will extract keywords from received replies. and map them to online resources. Hence this system will not only lower the stress and anxiety before e an actual job interview also improve the candidate's confidence The rise of AI and the epidemic situation bring about the implementation of virtual hiring practices. Our proposed Mock- Interview Platform (MIP) is a mock-interview software that provides users with up-to-date interview questions and AI- assisted feedback. Additionally, a speech-to-text cl.

Key Words: AI, Web Scraping, speech-to-text, feedback, Confidence evaluation, deep learning.