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πŸ† Magelli Scout β€” AI-Powered Job Fit Scoring System

πŸ₯‡ 1st Place β€” Business Technology Track | Gies AI for Impact Challenge Buildathon 2026

Microsoft Copilot Studio Power BI Power Automate GenAI LLM

πŸ“Œ Overview

Magelli Scout is a multi-agent AI system built on Microsoft Copilot Studio that scores job postings for consulting fit using capability gap inversion. It automatically surfaces the most relevant opportunities through a live Power BI dashboard and Power Automate weekly briefs.

❗ Problem Statement

Consultants and job seekers waste hours manually screening job postings with no systematic way to evaluate fit against their capability profile. Existing tools lack intelligence β€” they match keywords, not capabilities.

πŸ’‘ Solution Architecture

Agent Role
Agent 1 Job posting scraper and parser
Agent 2 Capability gap inversion scorer
Agent 3 Power BI dashboard updater
Agent 4 Power Automate weekly brief generator

See /architecture/system-diagram.svg for the full system diagram.

πŸ› οΈ Tech Stack

  • AI Platform: Microsoft Copilot Studio
  • Visualization: Power BI
  • Automation: Power Automate
  • AI/ML: Generative AI, Large Language Models (LLM), Prompt Engineering
  • Methodology: Capability Gap Inversion

πŸ“Š Results

  • πŸ₯‡ 1st Place β€” Business Technology Track
  • Gies AI for Impact Challenge Buildathon 2026
  • Competed against all teams across Gies College of Business

πŸ‘₯ Team

Team 007 β€” Prateek Verma, Venky Mehra, Anmol Aggarwal, Jeswell Mathew

πŸ“¬ Contact

Prateek Verma Β· LinkedIn Β· vermaprateek1109@gmail.com

About

πŸ₯‡ 1st Place | Multi-agent AI job fit scoring system built on Microsoft Copilot Studio + Power BI | Gies AI for Impact Challenge 2026

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