HRTech -NLP Enabled Resume Builder for Candidate Portal using Python

Business Impact

null

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

null

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

null

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.

null

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.

null

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.

Talk To Our Expert Team!

Technology Stack

Solution Overview

null

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

null

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

null

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

null

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

null

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

null

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

null

Guide the user to land on their dream job!

null

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.

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

null

50+

AI & ML
Engineers

null

40+

AI & ML
Projects for
reputed Clients

null

5yrs

in AI & ML
Engineering

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Connect With Us!