AI Interview Assistant

A proof-of-concept AI-powered technical interview simulation platform that provides direct technical assessment through focused questions and real-time evaluation.

Overview

The AI Interview Assistant is an innovative solution that provides a streamlined technical interview experience. The system focuses on direct technical assessment through focused questions, evaluating candidates' technical knowledge, problem-solving abilities, and implementation skills.

Conversation Interface

Key Features

1. Direct Technical Assessment

• Focused technical questions without preliminary background checks
• Immediate technical depth evaluation
• Contextual follow-up questions based on responses
• Dynamic technical difficulty adjustment
• Comprehensive technical skills assessment

2. Streamlined Interview Experience

• Direct technical questioning approach
• Real-time technical response evaluation
• Voice input support powered by Whisper
• Immediate technical feedback
• Structured technical follow-up questions
• Professional and focused technical discussion

3. Technical Evaluation System

• Detailed technical performance analysis
• Specific technical skills assessment
• Implementation approach evaluation
• Technical best practices review
• Weighted technical criteria:
  • Technical Knowledge (40%)
  • Problem-Solving (25%)
  • Implementation Skills (20%)
  • Technical Communication (15%)

4. Smart Technical Prompting

• Direct technical question generation
• Adaptive technical depth
• Structured technical follow-ups
• Implementation assessment
• Technical communication evaluation
• Technical scenario focus

Technical Stack

• Frontend: Next.js 13 with TypeScript
• AI/ML:
  • Claude AI (Anthropic) for natural language processing
  • LangChain for AI orchestration
  • Whisper for voice recognition
• Styling: TailwindCSS and Styled Components
• State Management: Redis for session management
• Document Processing: PDF parsing capabilities

Getting Started

Prerequisites

• Node.js (v16 or higher)
• Docker and Docker Compose
• pnpm package manager

Installation

1. Clone the repository:

git clone https://github.com/yourusername/interviewAI.git
cd interviewAI

2. Set up environment variables:

cp .env.example .env
# Edit .env with your API keys and configuration

3. Start Redis server:

docker compose up -d

4. Install dependencies:

pnpm install

5. Start the development server:

pnpm dev

6. Open http://localhost:3000 in your browser

Project Structure

interviewAI/
├── app/                 # Next.js app directory
├── components/          # React components
├── prompts/            # AI prompt templates
├── styles/             # Global styles
├── types/              # TypeScript type definitions
├── constants/          # Application constants
├── hooks/              # Custom React hooks
└── public/             # Static assets

Usage

1. Start Technical Interview

   • Begin with direct technical questions
   • Focus on technical implementation
   • Receive immediate technical feedback

2. Conduct Technical Assessment

   • Answer technical questions through text or voice
   • Receive real-time technical feedback
   • Navigate through technical question flow

3. Review Technical Performance

   • Access detailed technical feedback
   • Review technical responses
   • Get technical improvement suggestions

Future Enhancements

• Enhanced voice AI capabilities
• Multi-language support
• Advanced analytics dashboard
• Integration with popular job platforms
• Custom interview templates
• Video interview simulation