Artificial Intelligence Powered Automated Resume Ranker

Business Impact


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.


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


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.


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


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


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


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.


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






Projects for
reputed Clients


5 yrs

in AI & ML

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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