NLP Enabled Resume Builder for Candidate Portal using Python

Business Impact

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The most challenging part for candidates applying for jobs is providing a fitting resume that stands out from other competitors

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According to the Interview Success Formula, on average, 118 people apply for any given job and among them, only twenty percent get an interview.

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Adding a proper standard structure and format for a resume with the right choice of words increases the chances of getting on board in the first round of interview processes.

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OptiSol teamed up with a consulting firm that provides recruitment-ready resume formatting solutions to build an AI-based resume checker that scores the resumes based on the key criteria required for that particular job description.

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When the user uploads a resume, our text analytics-based solution analyzes the resume content against real-time recruiter preferences and commits an overall score to your resume.

Technology Stack

Solution Overview

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The entire approach, was advanced by automating the process from resume loading / building from scratch till dynamic template fitting.

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A Recommendation Module was built-in to suggest texts/descriptions/skills to include in their resume based on their current Job title and skills.

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Using the score, guide the user to add skills based on the JD.

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The resume Analysis module was an add-on to the application to make an effective resume for the user. This provides the user a Score comparison card (JD Vs. Skills in the resume). The soft skill and hard skills mentioned in the Job Description and skills updated in the newly created Resume is compared. A score is calculated based on the skills mentioned in the resume

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The user dashboard has a salary insights module with features like the career roadmap, Average salary across job roles/locations. Suggest Upskilling path/courses land their dream job!

Business Value

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One stop solution to build an effective resume that is tailored to specific job description.

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Guide the user to land on their dream job!

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Seamless user experience with reduced manpower

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.

Awards & recognition

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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