Brave 10x Hackathon - HireHub AI Talent Matching Platform

🏆 Brave Hackathon System Track Submission

An AI-powered talent matching platform that connects job candidates with hiring managers using advanced LLM capabilities. Built as an end-to-end AI product for the Brave Hackathon competition.

🚀 Project Overview

HireHub is a full-stack talent matching MVP similar to PeopleGPT by Juicebox or Mercor. The platform leverages AI to intelligently match candidates to job opportunities and provides comprehensive recruiting tools.

Key Features

• AI-Powered Matching: Uses LLMs to generate intelligent job matches and candidate summaries
• Resume Processing: Ingests and processes user profiles, resumes, bios, and skills
• Interactive Interviews: AI-powered interview agents with voice capabilities
• Advanced Filtering: Sophisticated filtering, ranking, and feedback mechanisms for recruiters
• Real-time Communication: Integrated voice and video interview capabilities with LiveKit
• Comprehensive Dashboard: Modern UI for managing candidates, jobs, and recruitment pipelines

🏗️ Architecture

This is a monorepo containing multiple components:

/hirehub - Main Application

• Tech Stack: Next.js 15, React 19, TypeScript, Tailwind CSS
• AI Integration: OpenAI GPT models for matching and analysis
• Database: Supabase with Prisma ORM
• Authentication: Supabase Auth
• Real-time Features: LiveKit for voice/video interviews
• Deployment: Vercel with Docker support

/juicebox-ai - Competitor Analysis

• Screenshots and analysis of Juicebox PeopleGPT for inspiration
• User flow documentation and feature research

/mercor - Additional Research

• Analysis of Mercor platform features
• Separate tracks for application and recruiter workflows

/context - Project Documentation

• Competition details and requirements
• Step-by-step development guide
• Useful links and resources

🛠️ Tech Stack

Frontend:

• Next.js 15 with App Router
• React 19 with TypeScript
• Tailwind CSS + Radix UI components
• Framer Motion for animations

Backend:

• Supabase (Database + Auth + Storage)
• Prisma ORM
• OpenAI API integration
• LiveKit for real-time communication

AI/ML:

• OpenAI GPT-4 for matching algorithms
• Document processing (PDF/DOCX resume parsing)
• Natural language processing for job descriptions

Deployment:

• Vercel for frontend
• Docker containers for agents
• GitHub for version control

🚀 Getting Started

Prerequisites

• Node.js >= 18.0.0
• npm >= 8.0.0
• Supabase account
• OpenAI API key

Installation

1. Clone the repository

   git clone <repository-url>
   cd brave-hackathon

2. Install dependencies

   npm install

3. Setup environment variables

   cd hirehub
   cp .env.example .env.local
   # Add your Supabase and OpenAI credentials

4. Run database migrations

   npm run db:seed

5. Start development server

   npm run dev

6. Open the application Navigate to http://localhost:3000

📁 Project Structure

brave-hackathon/
├── hirehub/                 # Main Next.js application
│   ├── src/
│   │   ├── app/            # Next.js app router pages
│   │   ├── components/     # Reusable UI components
│   │   ├── lib/            # Utility functions and configurations
│   │   ├── types/          # TypeScript type definitions
│   │   └── hooks/          # Custom React hooks
│   ├── prisma/             # Database schema and migrations
│   ├── public/             # Static assets
│   └── supabase/           # Supabase configuration
├── juicebox-ai/            # Competitor analysis (Juicebox)
├── mercor/                 # Competitor analysis (Mercor)
├── context/                # Project documentation
└── README.md               # This file

🎯 Core Functionality

For Job Seekers

• Profile creation with resume upload
• AI-powered job matching
• Interview scheduling and preparation
• Voice-enabled AI interview practice

For Recruiters

• Candidate discovery and search
• AI-generated candidate summaries
• Advanced filtering and ranking
• Interview management and feedback
• Team collaboration tools

AI Features

• Resume parsing and skill extraction
• Job-candidate compatibility scoring
• Automated interview question generation
• Real-time interview analysis
• Personalized recommendations

📚 Documentation

• Deployment Guide
• Prisma Setup
• LiveKit Integration
• AI Interview Implementation
• Voice Assistant Setup

🏆 Hackathon Submission

This project was built for the Brave 10x Hackathon - System Track, focusing on creating an end-to-end AI product that solves real-world hiring challenges.

Competition Track: System Track – Build an End-to-End AI Product
Problem: Talent Matching MVP for connecting candidates with hiring managers
Timeline: Hackathon duration
Team: Solo submission

🤝 Contributing

This is a hackathon submission project. For questions or feedback, please open an issue.

📄 License

This project is part of the Brave Hackathon submission.

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Built with ❤️ for the Brave 10x Hackathon