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🔍 HireScope

AI-powered hiring risk & blindspot detector built for the Forge Inspira 2026 Codeathon

Python Streamlit LLM


🧠 What it does

HireScope is an AI hiring agent that analyses candidate profiles and surfaces risks that human recruiters typically miss — bias blindspots, career red flags, inconsistencies — and delivers a structured hire/no-hire decision with reasoning.

No manual review. No gut feeling. Just data.


⚙️ How it works

LinkedIn URL → Bright Data scrapes live profile → Featherless AI runs 3-step analysis → Hire/No-Hire decision + risk report

3-Step AI Pipeline:

  1. 📋 Profile Analysis — Summarises candidate background
  2. ⚠️ Risk & Blindspot Detection — Flags gaps, inconsistencies, potential biases
  3. Hiring Decision — Scored recommendation (out of 10) with reasoning

🛠 Tech Stack

Tool Purpose
Bright Data Live LinkedIn profile scraping
Featherless AI Open-source LLM reasoning engine
Streamlit Interactive web dashboard
Python Core agent logic & API orchestration

🚀 Run it locally

git clone https://github.com/maimunaafrah341-maker/Hire-scope
cd Hire-scope
pip install -r requirements.txt

Create a .env file:

BRIGHT_DATA_API_KEY=your_key
FEATHERLESS_API_KEY=your_key
streamlit run app.py

🏆 Built at

Forge Inspira 2026 Codeathon — Problem Statement: Hiring Risk & Blindspot Detector

About

AI agent that detects hiring risks and blindspots from LinkedIn profiles — built at Forge Inspira 2026

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