What it does? It's basically a python resume parser with NLP and Sentence Similarity capabilities to find how close your resume is to the job description. Since it does PDF parsing, it can tell people if their resume is ATS friendly or not. It also does keyword analysis and keyword matching between job descriptions and your resume. So you get to know where you can improve it further.
What I'm looking for? If someone can mentor me to enhance my project. And help me with some pointers on how to grow and in what ways I can improve the tech stack, system design etc. It'll be amazing. Also, if someone who finds my idea novel enough to support it on GitHub, it'll be a great morale boost as well.
Please try it out here: https://github.com/srbhr/Naive-Resume-Matching/ Website Link: https://www.resumematcher.fyi/ Streamlit Cloud Demo: https://resume-matcher.streamlit.app/
Thanks for your time. Yours Truly, Saurabh Rai