HRTech - NLP Enabled Resume Builder for Recuiters Portal using Python

Overview

We worked with a firm that provides recruitment-ready resume formatting solutions. In the current scenario, the entire process follows a manual approach, which involves huge manpower, as well it consumes comparatively more time to fit and format those resumes. To overcome such difficulties this project proposes to advance the current classical solution by automating the entire process from resume loading to dynamic template fitting

Digital Driver

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Resumes are unstructured data with different file types, initially, they will be converted into an HTML file to get a raw text.

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Custom data is prepared, For example, the objective, overview, and summary remain the same but differs from resume to resume. The Data set is prepared to map these similar fields into the same bucket

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Trained a machine learning model to classify the fields in the resumes.

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Built a NER model to extract granular level details like start date, end date, location, etc.

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WEB UI is developed where a resume is dropped, formatted resume can be downloaded

Impact

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One step solution to format the resumes within seconds.

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Reduced the time and manpower.

Technology

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