Artificial Intelligence Powered Automated Resume Ranker | TensorFlow


Resumes contain a lot of information, but not all of it will be considered as important. Our intentions may differ according to our requirements. We might be looking for specific entities like years of experience, job roles, etc. An automated way of matching resumes with job descriptions will help us reap a lot of benefits and tremendously reduce the amount of time we have to spend skimming through resumes.

Solution Overview


Resumes contain unstructured data. A pipeline is built to extract text from the resumes.


The text is passed as input to the Universal Sentence Encoder and sentence embedding is created. The sentence embedding for job description is also created.


The similarity between the two documents is found using cosine similarity


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