Resume Parser Agent
Turns each uploaded PDF or Word resume into structured data: skills, technologies, work experience, education and previous companies.
AI ยท HR automation
HR Assistant Manager: AI that automates recruitment screening.
An AI-powered hiring platform with a candidate portal, a built-in applicant tracking system and six AI agents. Candidates apply once, AI screens them, and recruiters get a ranked list of pre-qualified talent.
6AI agents from resume to ranking
3Interfaces: candidate portal, ATS, recruiter dashboard
40 / 60Resume and interview weighting in the final score
1Application per candidate, reused for every role
The challenge
Too many applicants, not enough recruiter time.
HR teams and staff augmentation agencies receive hundreds of applications for a single role. Reading every resume and running first-round interviews by hand slows hiring down and makes screening inconsistent.
- Manual resume screening. Recruiters spend hours reading resumes before speaking to a single candidate.
- Repetitive first interviews. The same technical screening questions are asked again and again.
- Inconsistent decisions. Without a common scoring method, candidates are hard to compare fairly.
The solution
Six AI agents, from resume to ranked shortlist.
Resume Scoring Agent
Compares the structured resume with the job's requirements, rating skill match, experience, project relevance and education into a resume score.
Candidate Shortlisting Agent
Filters the pool against a minimum resume score and selects the candidates who go through to the AI interview.
AI Screening Interview Agent
Sends shortlisted candidates an interview link and records their answers to role-specific technical and project questions.
Interview Evaluation Agent
Analyses the recorded answers for technical knowledge, communication, clarity and confidence, and produces an interview score.
Candidate Scoring Engine
Combines every signal into one final score, weighted 40% resume and 60% interview, so candidates can be ranked fairly.
Platform
One platform, three interfaces.
Candidate portal
Candidates register, upload their resume, keep their profile up to date and complete the AI screening interview.
Built-in ATS
The central candidate database: profiles, resumes, parsed skills, interview recordings, applications and AI scores.
Recruiter dashboard
Recruiters create job requirements, view ranked candidates, watch interview recordings, and shortlist or hire.
How candidates are scored
Transparent scores recruiters can trust.
Every candidate gets the same evaluation. The final score blends how well the resume matches the role with how well the candidate performs in the screening interview.
- Resume score (40%). Skill match, experience relevance, project relevance and education, for example 82/100.
- Interview score (60%). Technical knowledge, communication, clarity and confidence, for example 78/100.
- Final score. The weighted result, 80/100 in this example, ranks candidates on the recruiter dashboard.
- Shortlisting at scale. For example, 200 applicants filtered by a minimum resume score of 70 leave 20 for AI interviews.
Built with
The technology behind it.
LLM-based agents work on top of a structured candidate database, so every score can be traced back to the resume and interview it came from.
AI agentsLLM evaluationResume parsingRecorded video interviewsApplicant tracking systemRecruiter dashboard
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