Artificial Intelligence Powered Automated Resume Ranker

Business Impact

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One of the initial steps in employee onboarding is resume selection, finding the right candidates for job descriptions manually is a tedious and time-consuming process.

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Choosing the matching candidate for the job role from hundreds of resumes will be difficult and takes many man days to choose them.

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Apart from this, Resumes contain a lot of information, but not all of it will be considered important. Our intentions may differ according to our requirements.

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We might be looking for specific entities like years of experience, job roles, etc.

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An automated way of matching resumes with job descriptions will help us reap a lot of benefits and tremendously reduce the amount of time we have to spend skimming through resumes.

Technology Stack

Solution Overview

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Resumes contain unstructured data. A pipeline is built to extract text from the resumes.

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The text is passed as input to the Universal Sentence Encoder and sentence embedding is created. The sentence embedding for job description is also created.

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The similarity between the two documents is found using cosine similarity

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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