AI Mock Coding Interview Agent

An intelligent AI-powered coding interview simulator that provides a realistic interview experience with adaptive feedback and comprehensive assessment. This project was part of the LLM Agents Hackathon organized by Berkeley as part of their MOOC course "Large Language Model Agents."

🚀 Live Demo

Try the application here: Link Watch a demo video here: Link

📸 Screenshots

Home Page

Interview Page

🏗️ Architecture

System Overview

High-level Architecture

🛠️ Tech Stack

Frontend

• React - Modern UI framework with Vite for fast development
• TailwindCSS - Utility-first CSS framework
• ChatScope - UI components for chat interface
• Google OAuth - Secure authentication

Backend

• FastAPI - High-performance Python web framework
• MongoDB - NoSQL database for flexible data storage
• Docker - Containerization and deployment
• LangChain - Framework for LLM orchestration
• LangGraph - Library for complex agentic workflows

🚀 Getting Started

Prerequisites

• Docker and Docker Compose
• Node.js (for local development)
• Python 3.11+ (for local development)
• MongoDB (for local development)

Environment Setup

1. Clone the repository
2. Create .env files in both /backend and /frontend directories
3. Configure the environment variables according to the templates

Quick Start with Docker

Run the entire application stack with a single command at root directory:

docker compose up --build -d

The application will be available at:

• Frontend: http://localhost:3001
• Backend: http://localhost:8000

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

🙏 Acknowledgments

• LangChain team for their outstanding frameworks.
• Berkeley LLM Agent MOOC team for organizing this hackathon.
• OpenAI for their free API credits.