Recruiting is a 200 billion dollar industry thats all about judging potential job candidates and seeing if they're a good fit for a position at a company. Recruiters receive thousands of resumes and are responsible for analyzing all of them. Theres essentially a massive amount of data that these humans have to parse through and find the best ones. This is easily a problem machine learning can solve, we'll build an app that can classify resumes into 27 different job categories using natural language processing via a convolutional neural network. I'll explain how in this video. Also its midterm time, so see the link below for the midterm assignment.
Code for this video (with midterm):
https://github.com/llSourcell/AI_for_Resumes
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More learning resources:
https://medium.com/the-mission/how-i-turned-my-resume-into-a-bot-and-how-you-can-too-f03847352baa
https://www.textkernel.com/challenges-behind-parsing-matching-cvs-jobs/
https://www.quora.com/How-do-I-develop-a-resume-parser-using-NLP-Natural-Language-Processing?utm_medium=organic&utm_source=google_rich_qa&utm_campaign=google_rich_qa
https://dzone.com/articles/cv-r-cvs-retrieval-system-based-on-job-description
https://www.slideshare.net/zainulsayed39/218-intelligent
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