App for Resume-Based Job Matching with Speech Interviews and Grammar
  Analysis: A Review
Tanmay Kulkarni Yuvraj Pardeshi Yash Shah Vaishnvi Sakat Sapana Bhirud
Through the advancement in natural language processing (NLP), specifically in
speech recognition, fully automated complex systems functioning on voice input
have started proliferating in areas such as home automation. These systems have
been termed Automatic Speech Recognition Systems (ASR). In this review paper,
we explore the feasibility of an end-to-end system providing speech and text
based natural language processing for job interview preparation as well as
recommendation of relevant job postings. We also explore existing
recommender-based systems and note their limitations. This literature review
would help us identify the approaches and limitations of the various similar
use-cases of NLP technology for our upcoming project.