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Karamchari Mitra

A Hiring Assistant Built for the Part Everyone Dreads

Team: Artificial Bloom

Hackathon: Techvoot AI Hackathon 2026

Category: AI for Hiring & Recruitment Automation

Karamchari Mitra is an AI-powered hiring assistant that automates early-stage recruitment, from resume screening to voice-based first interviews, delivering structured candidate shortlists and actionable insights.

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What Karamchari Mitra Really Is?

Where It All Started

At its core, Karamchari Mitra is an AI-powered screening assistant.

It quietly takes over the repetitive early-stage work like reading resumes, making first calls, asking the same questions consistently, so recruiters don’t have to.

You upload resumes.

You define what you’re looking for.

The system handles the rest and hands you back a shortlist that actually makes sense.

Why the Team Choose This Problem?

Hiring breaks down long before the final interview.

  • Resumes arrive in different formats.
  • Screening calls depend on who’s available that day.
  • Decisions are rushed because timelines are tight.

Over time, this creates a system where effort increases but clarity doesn’t.

Where It All Started

How the Hiring Flow Works?

This isn’t a single AI trick stitched together. It’s a full loop, designed the way recruiters actually work.

Resume Intake

Recruiters upload resumes in PDF or Word format. The system reads them, pulls out key details, and structures the data so it’s usable. If something looks unclear or oddly formatted, it’s flagged instead of silently rejected. This alone removes hours of manual effort.

Resume Evaluation

Instead of playing keyword bingo, the system looks at resumes through the lens of the role. Experience, skills, relevance, and alignment are evaluated together. The output isn’t a yes/no decision, but a clear signal of who deserves the next step.

Voice Interviews

This is where Karamchari Mitra starts feeling different. Candidates receive a voice-based interview call from an AI agent that introduces itself properly and asks role-specific questions. The flow is calm and structured.
Answers are recorded, transcribed, and analysed. Follow-ups adjust based on responses. Every candidate gets the same baseline experience, something that’s almost impossible to guarantee manually at scale.

Clear Scoring

After the interview, the system evaluates responses against predefined criteria. Communication, relevance, and clarity are assessed together. Recruiters don’t just see a score, they see why a candidate landed there. It makes the next decision easier, not heavier.

Easy Handover to Humans

Once screening is done, recruiters get a clean, filtered list of candidates, complete with resume data and interview insights, exported directly to Google Sheets. From here, humans step in with context instead of confusion.

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Why Recruiters Would Actually Use This?

    What it offers instead:

  • Fewer hours spent on repetitive screening.
  • A consistent first-round process.
  • Less burnout during high-volume hiring.
  • Better conversations in later interviews.

The system supports decision-making without replacing it.

client goals

Why It Won at Techvoot AI Hackathon 2026?

The project addressed a common recruitment challenge. Based on these factors, Karamchari Mitra received First Prize at the Techvoot AI Hackathon 2026.

client goals

The solution fit into existing hiring workflows.

client goals

The system functioned end-to-end within the hackathon timeframe.

client goals

The output was ready for practical use.

The Technology Behind the Scenes

  • Backend: Python
  • Database: SQLite
  • Resume Processing: PyPDF2, python-docx
  • Voice Interviews: Omnidimension AI voice system
  • Frontend:  HTML5, CSS3
  • Integrations: Google Sheets API

Solution Walkthrough

Dashboard:

Provides a quick overview of the hiring pipeline, showing total candidates, interview status, rejections, pending profiles, and resume imports in one place.

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Candidates Roster Panel

Displays a structured list of all candidates with contact details, applied role, current status, and available actions for quick review and follow-up.

smart simple

Analytics Reports

Tracks interview call activity by date, including total calls made and successful connections, helping recruiters monitor screening progress.

smart simple

Call Script

Stores the complete conversation between the AI voice agent and the candidate, allowing recruiters to review responses and context before moving forward.

smart simple

Predefined Rules

Allows recruiters to set role-specific parameters such as required skills, minimum and maximum experience, and budget limits to guide automated screening decisions.

smart simple

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