This Talent Acquisition Agent is an intelligent, AI-powered assistant that helps you identify and rank the best candidates for a job based on their resumes and your job description. It automatically parses resumes, extracts skills and qualifications, and calculates a Fit Score, which in turn helps prioritize the most promising candidates for shortlisting.

You can upload the candidate resumes(.docx, .pdf) in a zipped folder to the designated input data location for the Resume. Similarly, upload your Job Description file (.docx, .pdf) in the designated Job Description folder in the input data location. While running the agent, simply select the Resume folder and the Job description file of your choice.

The agent uses Resume Parser and Scorer tool to extract the structured data from the raw resumes then compares them with the Job Description, and finally calculates the Fit Score, which in turn helps us to get a prioritized list of top-fit candidates instantly.

What is a Fit Score?

Each resume is scored between 0 to 100 based on how well the candidate matches your job description. The score considers:

Skill Overlap Percentage: How much of the skills in the job description matches the ones in the resume.
JD-Resume Similarity: Textual and contextual similarity of the roles and responsibilities.
Job Title Similarity: Recent job title match with target role.
Experience Match: Matches required years of experience.
Education Match: Matches required education level.
Preferred Skills Match: Degree of overlap with nice-to-have skills.
Required Skills Match: Completeness of required qualifications.

Customizable Weighting:

Default weights are assigned to each of these components (total = 100%).

Skill Overlap Percentage: 40%
JD-Resume Similarity: 20%
Job Title Similarity: 5%
Experience Match: 10%
Education Match: 10%
Preferred Skills Match: 5%
Required Skills Match:10%

You can modify these weights by dragging these sliders below to reflect your priorities before scoring to customize how much each matching factor contributes to the final score.

Select Top K Candidates:

After scoring all applicants, the agent ranks them in descending order of their Fit Score. You can input the number of top candidates(K) you wish to retrieve, for example, Top 5 or Top 10. The agent will return only those top performers based on your criteria.

Output:

The system filters out the highest-scoring Top K candidates. You can also download the .csv copy of the list of Top K candidates which is generated with their details and scores. You can also see the distribution of the Fit scores of all the candidates and compare the entire pool of candidates.

Disclaimer: AI agents are powered by LLMs, which generate responses based on patterns in data rather than fixed rules. As a result, their behavior is non-deterministic, meaning outputs may vary even for similar inputs. This may lead to situations where the agent fails to trigger expected tool calls or behaves in ways that differ from prior interactions. Please account for this variability when designing or using AI agents.

Data Apps