Many aspirants get rejected at the profile screening stage itself due to a lack of proper resume so hence resume_selector.

What it does

It takes a resume and performs EDA and then visualises data which represents their skillset.

How we built it

We built it using python in which we performed EDA on the data and visualised using matplotlib and sklearn libraries respectively.

Challenges we ran into

We were unaware of the parameters taken into consideration for providing a perfect resume.

Accomplishments that we're proud of

Resume_selector performs EDA on a resume and provides us with cleaned data. The visualisation is upto the mark.

What we learned

We learned how to visualise data using various libraries in python and understood on how to analyse data which is on a big scale.

What's next for Resume_Selector

Resume_selector can help recommend jobs suitable for their resumes in future aspects.

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