MockAI : Smart Recruitment Counseling using Artificial Intelligence

Authors

  • Wagh SK Department of Computer Science, Modern Education Society’s College of Engineering, Pune, India
  • Agarwal DO Modern Education Society’s College of Engineering, Pune, India
  • Hire LS Modern Education Society’s College of Engineering, Pune, India
  • Choudhary JN Modern Education Society’s College of Engineering, Pune, India

DOI:

https://doi.org/10.26438/ijcse/v7i2.261265

Keywords:

Chatbot, Deep Learning, Facial Expression Recognition,, Sentiment Analysis

Abstract

Preparing for job interviews is very difficult. A lot of candidates are not prepared for the interviews and so they are not able to fetch their dream jobs. Mostly candidate's selection is based on the answers given in the interview. People will definitely hire those candidates who show interest and positive attitude. Using deep learning techniques we are proposing an application framework which would help candidates in preparing for the interviews. This involves multiple neural networks working separately for predicting different sections of an interview and providing real-time feedback and a report. Using CNN emotional analysis is performed on the video stream and Recurrent neural networks are utilized for sentiment analysis. Further, this Recurrent neural network with LSTM units is utilized for chat-bot interaction during the process. The chat-bot ask the questions to the candidate and candidate's response is recorded and analysis is done. All these analyses together will try to prepare the candidate for the interview as a whole

References

[1] Chandrahas Gaikwad, Satish Akolkar, Reshma Khodade, “Generic PDF to Text Conversion using Machine Learning”,International Journal of Computer Applications (0975–8887), Volume 106 – No. 12, November 2014.

[2] Shinn, M. G. (1985). Campus interviews — “What do they want from me?” Approach on-campus interviews by considering what is right for you. IEEE Potentials, 4(4), 11–12. doi:10.1109/mp.1985.6500202

[3] K. Tarunika ; R.B Pradeeba ; P.Aruna “Applying Machine Learning Techniques for Speech Emotion Recognition” 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Year: 2018

[4] Yuanlu Kuang ; Lijuan “Speech emotion recognition of decision fusion based on DS evidence theory Li “2013 IEEE 4th International Conference on Software Engineering and Service Science Year: 2013

[5] Richard Socher, Alex Perelygin, Jean Y. Wu,Jason Chuang, Christopher D. Manning, Andrew Y. Ng and Christopher Potts,”Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank” ,Proceedings of the conference on empirical methods in natural language processing (EMNLP), volume 1631, page 1642. Citeseer, 2013

[6] Y. C. Pan ; M. X. Xu ; L.Q. Liu ; P. F. Jia “Emotion-detecting Based Model Selection for Emotional Speech Recognition “, IMACS Multiconference on "Computational Engineering in Systems Applications"(CESA),October 4-6, 2006, Beijing, China.

[7] T. V. Sagar K. S. Rao ;S. R. M. Prasanna ; S. Dandapat Shiqing Zhang, “Speech emotion recognition based on Fuzzy Least Squares Support Vector Machine”,7th World Congress on Intelligent Control and Automation , 2008

[8] Ashwini Yerlekar, Devika Deshmukh , ”Investigating Sentiment analysis using Clustering and NLP tools ”, International Journal of Computer Sciences and Engineering ,Vol .7 , Issue.1, pp.344-347 Jan-2019

[9] Y. M. Rajput, S. Abdul Hannan, M. Eid Alzahrani, Ramesh R. Manza, Dnyaneshwari D. Patil ,“EEG-Based Emotion Recognition Using Different Neural Network and Pattern Recognition Techniques – A Review”, International Journal of Computer Sciences and Engineering ,Vol.7 , Issue.1 , pp.615-618, Jan-2019

[10] Pratik Ghosalkar, Sarvesh Malagi, Vatsal Nagda, Yash Mehta, Pallavi Kulkarni ,”English Grammar Checker”,International Journal of Computer Sciences and Engineering ,Vol.4 , Issue.3 , pp.98-100, Mar-2016

[11] Pooja Shivratri1, Preeti Kshirsagar, Rashmi Mishra Ronit Damania and Nandana Prabhu , “Resume Parsing and Standardization”,,International Journal of Computer Sciences and Engineering Vol.3 , Issue.3 , pp.129-131, Mar-2015

[12] Suma S L, Sarika Raga ,”Real Time Face Recognition of Human Faces by using LBPH and Viola Jones Algorithm Real Time Face Recognition of Human Faces by using LBPH and Viola Jones Algorithm”, International Journal of Scientific Research in Computer Sciences and Engineering ,Vol.6 , Issue.5 , pp.6-10, Oct-2018

[13] Ketan Sarvakar, Urvashi K Kuchara,”

Sentiment Analysis of movie reviews: A new feature-based sentiment classification”, International Journal of Scientific Research in Computer Sciences and Engineering , Vol.6 , Issue.3 , pp.8-12, Jun-2018

[14] G.Sowmiya, V. Kumutha, ”Facial Expression Recognition Using Static Facial Images”,International Journal of Scientific Research in Computer Sciences and Engineering ,Vol.6 , Issue.2 , pp.72-75, Apr-2018

Downloads

Published

2019-02-28
CITATION
DOI: 10.26438/ijcse/v7i2.261265
Published: 2019-02-28

How to Cite

[1]
S. Wagh, D. Agarwal, L. Hire, and J. Choudhary, “MockAI : Smart Recruitment Counseling using Artificial Intelligence”, Int. J. Comp. Sci. Eng., vol. 7, no. 2, pp. 261–265, Feb. 2019.

Issue

Vol. 7 No. 2 (2019): IJCSE February Edition

Section

Review Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.