AI Interview Coach

An intelligent interview practice platform that uses AI to analyze your speaking performance and provide detailed feedback for improvement.

Features

🎥 Recording & Analysis

• Video/Audio Recording: Record your interview responses with camera and microphone
• Real-time Transcription: Audio is automatically transcribed for analysis
• Speech Analysis: Advanced metrics including:
  • Words per minute (WPM)
  • Filler word detection (um, uh, like, you know, etc.)
  • Pause analysis
  • Vocabulary richness
  • Sentence structure evaluation

📊 AI-Powered Feedback

The system evaluates your interview performance across multiple dimensions:

Overall Score (0-100)

Weighted combination of all metrics to give you a comprehensive performance rating.

Clarity Score

• Analyzes speech clarity based on filler word usage
• Evaluates confidence in word transcription
• Penalizes excessive pauses or hesitations

Structure Score

• Evaluates answer organization and coherence
• Checks sentence length and variety
• Assesses vocabulary richness and diversity
• Ensures appropriate response length

Pace Score

• Ideal speaking rate: 130-170 words per minute
• Analyzes pause consistency
• Detects rushed or overly slow delivery

Content Analysis

• Checks for concrete examples and specifics
• Identifies use of structured frameworks (STAR method)
• Evaluates confidence in language
• Looks for quantifiable results and metrics

💡 Personalized Recommendations

After each session, you receive:

• Strengths: What you did well
• Improvements: Specific areas to work on
• Detailed Feedback: Comprehensive analysis of your performance
• Score Breakdown: Visual representation of all metrics

📈 Progress Tracking

• View your interview history
• Track improvement over time
• See average scores and best performances
• Monitor trends in your speaking skills

Technical Architecture

Audio Processing (/src/lib/audioProcessing.ts)

• transcribeAudio(): Converts audio to text with timing data
• analyzeSpeechMetrics(): Extracts speaking patterns and metrics
• calculateClarityScore(): Evaluates speech clarity
• calculateStructureScore(): Assesses answer organization
• calculatePaceScore(): Analyzes speaking speed and rhythm

AI Analysis (/src/lib/aiAnalysis.ts)

• analyzeResponseContent(): Evaluates content quality and relevance
• generateAIFeedback(): Creates comprehensive feedback with scores
• Advanced pattern matching for:
  • Examples and concrete details
  • Structured responses (STAR method indicators)
  • Confident vs. hedging language
  • Quantifiable results

Key Metrics Tracked

1. Filler Words Detected:

   • um, uh, like, you know, sort of, kind of, i mean
   • basically, actually, literally, just, so, well, right
   • okay, alright, anyway, hmm, er, ah

2. Speech Quality Indicators:

   • Average pause duration
   • Long pause frequency
   • Word-to-sentence ratio
   • Vocabulary diversity
   • Speaking rate consistency

3. Content Quality Markers:

   • Use of examples and experiences
   • Structured approach indicators
   • Confidence language
   • Quantifiable outcomes

Getting Started

Prerequisites

• Node.js 18+ and npm
• Supabase account (for backend)
• Modern browser with camera/microphone access

Installation

1. Clone the repository:

git clone <repository-url>
cd workspace

2. Install dependencies:

npm install

3. Set up environment variables: Create a .env file with:

VITE_SUPABASE_URL=your_supabase_url
VITE_SUPABASE_ANON_KEY=your_supabase_anon_key

4. Start the development server:

npm run dev

5. Build for production:

npm run build

Database Setup

The application requires the following Supabase tables:

• profiles: User profiles and subscription data
• interview_sessions: Recording sessions and transcriptions
• ai_feedback: AI-generated feedback and scores
• progress_metrics: Historical performance data

How It Works

1. Start a Session: Click "Start New Practice Session" to get a random interview question
2. Record Your Answer: Grant camera/microphone permissions and record your response
3. AI Processing: The system:
   • Transcribes your audio
   • Analyzes speech patterns
   • Evaluates content quality
   • Generates detailed feedback
4. Review Feedback: See your scores, strengths, and areas for improvement
5. Track Progress: View your improvement over time on the dashboard

Interview Questions

The platform includes 20+ common interview questions:

• Tell me about yourself
• What are your strengths/weaknesses?
• Behavioral questions (STAR format)
• Career goals and motivations
• Problem-solving scenarios
• And more...

Scoring System

Overall Score Calculation

Overall Score = (Clarity × 30%) + (Structure × 25%) + (Pace × 25%) + (Content × 20%)

Rating Levels

• 80-100: Excellent - Strong performance across all areas
• 60-79: Good - Solid performance with room for improvement
• 0-59: Needs Work - Focus on key areas for significant improvement

Future Enhancements

Potential Integrations

The codebase includes commented code for:

• OpenAI GPT-4: Advanced content analysis with natural language understanding
• Professional Speech-to-Text APIs: Higher accuracy transcription (Whisper, Google, AssemblyAI)
• Video Analysis: Facial expressions, eye contact, body language

Roadmap

• Industry-specific question sets
• Custom question creation
• Detailed analytics dashboard
• Peer comparison and benchmarking
• Export feedback as PDF reports
• Mobile app support

Development

Type Checking

npm run typecheck

Linting

npm run lint

Build

npm run build

Preview Production Build

npm run preview

Technologies Used

• Frontend: React 18, TypeScript, Vite
• Styling: Tailwind CSS
• Icons: Lucide React
• Backend: Supabase (PostgreSQL, Auth, Storage)
• Media: WebRTC APIs (MediaRecorder, getUserMedia)
• AI/ML: Custom speech analysis algorithms

Browser Compatibility

• Chrome 90+ (recommended)
• Firefox 88+
• Safari 14+
• Edge 90+

Note: Camera and microphone access required

License

This project is private and proprietary.

Support

For issues or questions, please contact the development team.

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Built with ❤️ for better interview preparation