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    AI Hiring Assistant

    Intelligent automation for candidate screening and interview scheduling

    React
    TypeScript
    Supabase
    OpenAI GPT-4
    LangChain
    Python
    FastAPI
    Candidate screening and scheduling automation

    Project Focus

    Summary

    Built an intelligent hiring assistant that automates candidate screening, resume parsing, and interview scheduling.

    Business Objective

    The goal was to process a high monthly volume of applications efficiently while maintaining quality and reducing recruiter burnout. Traditional ATS systems were slow and required extensive manual review.

    Our Approach

    01

    Intelligent Resume Parsing

    Extracts and structures candidate information consistently across resume formats.

    02

    AI Matching Engine

    Ranks candidates against job requirements.

    03

    Automated Workflows

    Created end-to-end automation for scheduling, follow-ups, and candidate communication.

    Challenges & Solutions

    Challenge

    Resume format variability

    Solution

    Handled varied resume formats with fallback parsing strategies.

    Key Capabilities

    Screening automation

    Designed to move candidates through initial screening with less manual effort.

    High-volume ready

    Built to handle a high, steady flow of applications.

    Consistent parsing

    Structured, consistent candidate data extraction across varied resume formats.

    Consistent screening

    Designed to make candidate screening more consistent.

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