hAIre – AI-Powered HR Interviewing Platform

hAIre is an AI-driven platform designed to streamline HR interviews, automate CV screening, and provide real-time candidate evaluations. Developed for the LLM Agents MOOC Hackathon by the Berkeley RDI Center, this project leverages Large Language Models (LLMs) to create an efficient, scalable, and privacy-focused hiring experience.

🚀 Features

✅ Automated CV Screening – Extracts and analyzes candidate resumes to assess job fit.
✅ AI-Powered Interview Bot – Conducts interactive, structured HR and technical interviews.
✅ Real-Time Candidate Reports – Generates structured insights for HR teams.
✅ Multilingual Support – Enables AI-driven interviews in multiple languages.
✅ Privacy-First Design – Ensures GDPR compliance by anonymizing sensitive data.

⚡ Quickstart Guide

1️⃣ Backend Setup

# Clone the backend repository and install dependencies
git clone https://github.com/eyenpi/hAIre-core.git && cd hAIre-core
pip install -r requirements.txt

# Start the backend server
uvicorn app.main:app --reload

2️⃣ Frontend Setup

# Navigate back and clone the frontend repository
cd .. && git clone https://github.com/hoseinmrh/hAIre-Client.git && cd hAIre-Client

# Install dependencies and run the frontend
npm install
npm run dev

🔗 Connect & Contribute

If you’re passionate about AI in HR tech, feel free to contribute or connect with us!

📌 GitHub Repositories:

• Core
• Frontend