• John Joseph Z
• Barath Sripal G
• Gaurav M
• Dr. S. Balaji

Deep Learning and Natural Language Processing are used to create this autonomous system. This model is used to automate technical interviews during campus recruiting. The candidate should answer all of the questions asked by an autonomous interviewer online, and the applicant's score and outcome are assessed at the end of the process. This system can also be used to pre screen candidates appearing for interview. The recruiting process is much more effective when this model is used, and the interviewer's time is saved. Since the process has been automated, employees no longer have to conduct technical interviews for candidates, allowing them to be more efficient for the organisation.

Deep Learning, Natural Language Processing, Speech Recognition, Universal Sentence Encoder, Transfer Learning, Sentence Similarity, Django

"An Autonomous System to Evaluate Technical Interview Process Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.117-119, April-2021, Available :http://www.jetir.org/papers/JETIRES06026.pdf

"An Autonomous System to Evaluate Technical Interview Process Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp117-119, April-2021, Available at : http://www.jetir.org/papers/JETIRES06026.pdf