AI Interview Bot 🤖

A platform that conducts AI-powered mock interviews based on your resume. Get personalized questions, real-time feedback, and detailed performance report.

🌟 Features

• AI-Powered Interviews: Personalized questions based on your resume
• Real-time Streaming: Live AI responses via WebSocket connections
• Speech Integration: Voice input and text-to-speech for natural conversation
• Resume Analysis: PDF upload and intelligent parsing
• Performance Reports: Detailed AI-generated feedback with scoring
• Multiple Interview Types: Technical and Techno-Managerial interviews
• Spell Check: AI-powered spell checking for user inputs
• Authentication: Secure Google OAuth integration via Supabase

🛠️ Tech Stack

Frontend

• React 19 - Latest React with modern features
• TypeScript - Type-safe development
• Vite - Fast build tool and dev server
• Tailwind CSS v4 - Modern styling framework
• shadcn/ui - Beautiful UI components
• Zustand - Lightweight state management
• React Router - Client-side routing
• React Markdown - Markdown rendering for reports

Backend

• Node.js - JavaScript runtime
• Express - Web framework
• TypeScript - Type-safe server development
• WebSocket (ws) - Real-time communication
• Multer - File upload handling
• Google Gemini AI - AI model integration

Database & Services

• Supabase - Backend-as-a-Service (Database, Auth, Storage)
• Google Gemini - AI model for interviews and reports
• Supabase Auth - Authentication with Google OAuth
• Supabase Storage - File storage for resumes and reports

Deployment

• Vercel - Frontend deployment
• Railway/Render - Backend deployment

🚀 Getting Started

Prerequisites

• Node.js 18+
• Supabase account
• Google Gemini API key

1. Clone the Repository

git clone https://github.com/darshan03s/ai-interview
cd ai-interview

2. Install Dependencies

# Install frontend dependencies
cd frontend
pnpm install

# Install backend dependencies
cd backend
pnpm install

3. Environment Variables Setup

Backend Environment Variables

Create backend/.env file:

# Google Gemini AI
GEMINI_API_KEY=your_gemini_api_key_here

# Supabase Configuration
SUPABASE_URL=your_supabase_project_url
SUPABASE_KEY=your_supabase_key

Frontend Environment Variables

Create frontend/.env file:

# Supabase Configuration
VITE_SUPABASE_URL=your_supabase_project_url
VITE_SUPABASE_ANON_KEY=your_supabase_anon_key

# API Configuration
VITE_API_URL=api_url

4. Run the Development Servers

Start Backend Server

cd backend
pnpm dev

The backend will run on http://localhost:3000

Start Frontend Server

cd frontend
pnpm dev

The frontend will run on http://localhost:5173