Developer: Harsh Srivastava
GitHub: @horus-bot
Status: accepting Pull Requests
Interview Insights is a cutting-edge AI-powered interview coaching platform that leverages multiple advanced AI technologies to provide comprehensive interview preparation and analysis. This Next.js application combines real-time video analysis, natural language processing, and machine learning to deliver personalized feedback that helps users excel in their job interviews.
Our platform doesn't just record and playback - it intelligently analyzes every aspect of your interview performance:
- 🎥 Real-time Video Analysis using Google Gemini Vision AI
- 🗣️ Speech Pattern Recognition with advanced audio processing
- 🧠 Natural Language Understanding powered by multiple AI models
- 📊 Behavioral Analytics through computer vision
- 🎯 Role-Specific Coaching tailored to different job positions
┌─────────────────────────────────────────────────────────────┐
│ Frontend (Next.js 14) │
├─────────────────────────────────────────────────────────────┤
│ 🎥 Real-time Recording │ 🎯 Interactive UI │ 📊 Analytics │
└─────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────┐
│ AI Processing Layer │
├─────────────────────────────────────────────────────────────┤
│ Groq Llama 4 │ Google Gemini │ Custom Models │
│ (Text Analysis) │ (Vision + Audio) │ (Behavioral) │
└─────────────────────────────────────────────────────────────┘
│
┌─────────────────────────────────────────────────────────────┐
│ Data & Authentication │
├─────────────────────────────────────────────────────────────┤
│ Local session auth + browser storage for analyses │
└─────────────────────────────────────────────────────────────┘
-
Groq Llama 4 Scout (
meta-llama/llama-4-scout-17b-16e-instruct)- Advanced question generation
- Context-aware conversation flow
- Performance analysis and coaching
-
Google Gemini 1.5 Flash
- Multi-modal video + audio analysis
- Real-time facial expression recognition
- Voice tone and confidence assessment
-
Custom Behavioral Models
- Eye contact tracking
- Posture analysis
- Gesture recognition
- Speaking pace optimization
- Frontend: Next.js 14, React 18, TypeScript
- Styling: Tailwind CSS, Shadcn/ui Components
- AI Integration: Groq SDK, Google AI SDK
- Media Processing: WebRTC, MediaRecorder API
- Authentication: Local session auth (client-side)
- Data Storage: Browser storage for session analysis state
- Deployment: Vercel/Firebase Hosting
- State Management: React Hooks, Context API
- Role-Specific Questions: AI generates personalized questions based on job role and experience level
- Real-Time Analysis: Continuous monitoring of verbal and non-verbal communication
- Adaptive Difficulty: Questions adjust based on your responses and skill level
- Multi-Stage Process: Introduction → Conceptual → Coding/Behavioral → Analysis
Analysis Dimensions:
├── 🗣️ Verbal Communication
│ ├── Clarity and Articulation
│ ├── Speaking Pace and Pauses
│ ├── Vocabulary and Grammar
│ └── Answer Structure (STAR Method)
├── 👁️ Non-Verbal Communication
│ ├── Eye Contact Patterns
│ ├── Facial Expressions
│ ├── Body Language and Posture
│ └── Hand Gestures and Movement
├── 🧠 Technical Competency
│ ├── Problem-Solving Approach
│ ├── Code Quality Assessment
│ ├── Algorithmic Thinking
│ └── Best Practices Knowledge
└── 💡 Overall Performance
├── Confidence Level
├── Professional Presence
├── Interview Readiness Score
└── Improvement Recommendations
-
STAR Method Builder
- Guided framework for behavioral questions
- Real-time structure validation
- Example optimization
-
Technical Coding Practice
- Role-specific coding challenges
- Live code analysis
- Performance optimization tips
-
Skill Improvement Exercises
- Eye contact training
- Posture correction
- Speech clarity drills
- Personalized coaching conversations
- Context-aware advice
- Progress tracking
- Skill gap identification
Node.js 18+
npm or yarn
Modern browser with camera/microphone support# Clone the repository
git clone https://github.com/horus-bot/interview-insights
cd interview-insights
# Install dependencies
npm installCreate a .env.local file in the root directory:
# =============================
# 🤖 AI API Keys 🤖
# =============================
GEMINI_API_KEY=your_gemini_api_key
GROQ_API_KEY=your_groq_api_key- Groq API: Get key from Groq Console
- Gemini API: Get key from Google AI Studio
# Start the development server
npm run dev
# Application will be available at:
# http://localhost:3000# Build for production
npm run build
# Start production server
npm start-
Behavioral Interview
- STAR method coaching
- Situational question practice
- Leadership and teamwork assessment
-
Technical Coding Interview
- Role-specific programming challenges
- Code quality analysis
- Algorithm optimization feedback
-
System Design Interview
- Architecture discussion simulation
- Scalability considerations
- Best practices evaluation
- Performance Metrics: Comprehensive scoring across multiple dimensions
- Visual Feedback: Charts, graphs, and progress tracking
- Personalized Recommendations: AI-driven improvement suggestions
- Historical Progress: Track improvement over time
- Interview Tips Library: Curated best practices
- Common Questions Bank: Industry-specific question sets
- Practice Exercises: Targeted skill development
- Video Tutorials: Expert guidance and examples
// Advanced video compression and analysis
const videoAnalysis = await geminiModel.generateContent([
{ text: analysisPrompt },
{ inlineData: { mimeType: "video/mp4", data: videoData }}
]);const questions = await groq.chat.completions.create({
model: "meta-llama/llama-4-scout-17b-16e-instruct",
messages: [
{ role: "system", content: "Expert technical interviewer..." },
{ role: "user", content: questionPrompt }
]
});- Video Input → WebRTC MediaRecorder
- Audio Separation → Web Audio API
- Compression → Client-side optimization
- AI Analysis → Gemini Vision + Groq Processing
- Results Synthesis → Multi-model consensus
- Feedback Generation → Personalized recommendations
- Sign Up/Login using local session authentication
- Choose Interview Type (Behavioral, Technical, etc.)
- Configure Settings (role, experience level, duration)
- Grant Permissions for camera and microphone access
- Start Interview and follow AI guidance
- Receive Analysis with detailed feedback and scores
- 🌐 Use Google Chrome or Firefox for best experience
- 🎥 Ensure good lighting and stable internet
- 🎧 Use headphones to minimize audio feedback
- 📱 Desktop/laptop recommended over mobile devices
- All video processing happens locally during recording
- No permanent storage of video data
- Secure API communication with encryption
- Local session data remains on the client and should not be used for sensitive production auth flows
This repository is an official competition submission and is not accepting pull requests or external contributions at this time.
This project is proprietary software developed for competition purposes. All rights reserved by Team Saksham.
Developer: Harsh Srivastava
GitHub: @horus-bot
Specialization: AI/ML Engineering, Full-Stack Development
This project represents months of research and development in AI-powered interview coaching, combining cutting-edge machine learning models with intuitive user experience design.
Camera/Microphone Not Working?
# For localhost (development)
# Ensure you're accessing via http://localhost:3000
# Grant browser permissions when prompted
# Check browser console for permission errorsAI Analysis Failing?
# Verify API keys in .env.local
# Check network connectivity
# Ensure video file size < 10MBAuthentication Issues?
# Verify Firebase configuration
# Check console for authentication errors
# Ensure Firebase project is properly set upFor technical support or questions about this competition entry, please contact:
- Email: Contact through GitHub profile
- GitHub: @horus-bot