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.