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    Helping Recruiters Spend Less Time Reading Resumes

    Built an AI-powered recruitment platform that automatically extracts candidate information, evaluates resumes against job requirements, and brings resumes from connected sources directly into the ATS.

    Find The Right Candidate

    Job Description
    Recruiter Brief
    50% Weight
    Hiring Preferences 5 × 10% weight
    10%
    10%
    10%
    10%
    10%
    AI

    Extract Immediate Joiner, Under Budget, Location, Experience and Communication criteria from bulk resume.

    Matching candidates to your job description and hiring preferences.
    Scoring every resume with a 50% job-fit score and five weighted hiring preferences (10% each).
    0% Complete

    Top 20 Matching Candidates

    0 / 20 searched
    CANDIDATEMATCH SCOREDOWNLOAD
    Number of Candidate
    (16)
    Number of Candidate
    (18)
    Number of Candidate
    (12)
    Number of Candidate
    (15)
    Number of Candidate
    (10)

    The Challenge

    Recruiters were spending hours processing, reading and comparing resumes manually.

    01

    Manual Resume Data Entry

    Recruiters received resumes through email, cloud storage and other sources, then manually extracted information such as:

    • Name
    • Contact information
    • Skills
    • Experience
    • Projects
    • Education

    Result: Repetitive data entry and inconsistent candidate profiles.

    02

    Manual Resume Screening

    Recruiters had to open and evaluate large numbers of resumes against every job description.

    Result: Hours spent screening candidates before reaching a shortlist.

    03

    Resumes Were Scattered Across Sources

    Candidate resumes could arrive through email, Google Drive, OneDrive and other sources.

    Result: Recruiters had to repeatedly collect, download and upload resumes into the ATS.

    The Solution

    One intelligent workflow from resume intake to candidate shortlist.

    Turn Every Resume Into an ATS-Ready Candidate Profile

    AI automatically reads incoming resumes, extracts relevant candidate information, and converts it into structured candidate profiles, including recruiter-defined fields.

    Automatic extraction

    Name, contact details, experience, skills, projects and more.

    Custom AI fields

    Recruiters can define additional fields in plain language.

    ATS-ready profiles

    Extracted information is structured and added directly to the candidate database.

    Recruiter-Controlled AI Screening

    Different roles require different priorities. Recruiters can define those priorities and assign a weight to each one. For example, For a Senior PM role, project management and leadership experience can carry more weight than location or availability.

    AI scores every candidate against the job description and recruiter-defined criteria, using the weight assigned to each requirement.

    Automatically Bring Resumes Into Your ATS

    Resumes from email and cloud storage are automatically collected, processed by AI, and added to the ATS as structured candidate profiles — without manual downloading or data entry.

    Connect once. Let every new resume flow directly into your recruitment pipeline.

    From Manual to Automated Recruitment

    Recruiters no longer need to manually collect, read, enter, and rank every resume. AI automates the repetitive steps while keeping recruiters in control of hiring decisions.


    The Impact

    The result was a more automated recruitment workflow — reducing repetitive work, improving candidate visibility, and helping recruiters focus on the people most likely to fit each role.

    01

    Less Manual Processing

    Recruiters no longer need to open resumes one by one and manually enter candidate information. Resumes are automatically processed and structured into ATS-ready profiles.

    02

    Faster Candidate Screening

    Instead of manually reviewing every resume against a job description, recruiters can use AI to evaluate and rank candidates based on job requirements and their own screening criteria.

    03

    More Consistent Evaluation

    Recruiters can define the criteria and weight of each requirement, allowing candidates to be evaluated using the same scoring framework rather than relying entirely on individual judgment or keyword searches.

    04

    More Focus on Qualified Candidates

    With resume processing and initial screening automated, recruiters can spend more time reviewing top matches, engaging candidates, and moving qualified applicants through the hiring process.

    Tech Stack Used for Blackstone

    • Frontend
    • Backend
    • API Integration
    • Database
    • Hosting
    React JS

    React JS

    Langchain

    LangChain

    Langgraph

    LangGraph

    claud

    Claude

    LLM

    LLM

    Agentic AI

    Agentic AI

    Prompt Engineering

    Prompt Engineering

    Postgres

    Postgres

    aws

    Hostinger

    Mohit Sharma

    August 12, 2026

    9:46 am

    No Comments

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