NLP Enabled Resume Builder for Recuiters Portal using Python

Business Impact

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Resume formatting is one of the tedious steps in the recruitment process as it takes enough man time in fitting resumes into templates

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Automating the resume formatting based on the client's requirement can save time and enhance the productivity of the recruiter.

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We worked with a firm that provides recruitment-ready resume formatting solutions.

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Their traditional process involved tremendous manpower, as well it consumed comparatively more time to fit and format those resumes.

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To overcome such difficulties this solution replaces the current classical solution by automating the entire process from resume loading to dynamic template fitting.

Technology Stack

Solution Overview

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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

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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50+

AI & ML
Engineers

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40+

AI & ML
Projects for
reputed Clients

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5 yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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