InterviewIq

AI-powered interview simulator that generates role-based questions and delivers instant performance feedback.

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💡 Inspiration

Interview prep is costly & intimidating. We built InterviewIQ as a free, AI-powered platform for unlimited practice, instant personalized feedback, and resume analysis, ensuring everyone gets quality coaching. Powered by Google's Gemini API.

✨ What it does

InterviewIQ is a complete prep platform:

  • Resume Intelligence: Upload PDF → AI analyzes experience → Suggests optimal role & difficulty.
  • Adaptive Questions: AI generates role-specific questions at 3 difficulty levels.
  • Instant Feedback: AI evaluates answers with scores, strengths, improvements, and model answers.
  • Progress Tracking: Visualize improvement across sessions.
  • Always Available: Fallback system ensures app works even during API rate limits.
  • Every feature powered by Google Gemini Flash API.

🛠️ How we built it

  • Backend: Node.js + Express.js (3 endpoints: /generate-question, /evaluate-answer, /analyze-resume).
  • Frontend: Vanilla JavaScript + HTML5 + CSS3 (glassmorphism theme, no frameworks).
  • AI: Google Generative AI SDK with Gemini Flash Latest.
  • Architecture: generateContent() for text, multimodal PDF analysis (base64), comprehensive fallback (36 pre-written questions), auto-scoring.
  • State Management: 6-section SPA with FileReader API for PDF.

🚧 Challenges we ran into & Fixed

  1. Module Loading Order: dotenv.config() in each service module.
  2. Multimodal PDF Complexity: Careful base64 encoding & MIME type for Gemini.
  3. Rate Limiting (60 req/min): Comprehensive fallback system with pre-built content.
  4. CORS Issues: app.use(cors()).
  5. UI Responsiveness: Loading states & disabled buttons during API calls.

🎯 Accomplishments we're proud of

✅ Full Gemini API integration (text generation + multimodal PDF analysis). ✅ Production-ready architecture with error handling, validation, 99% uptime via fallback system. ✅ Smart fallback: 36 pre-written questions (12 roles × 3 difficulties) + auto-scoring. ✅ Modern frontend: 6-step flow, glassmorphism, responsive, vanilla JS. ✅ Resume intelligence via multimodal API with auto-filled recommendations. ✅ Git & deployment ready (clean history, .env.example, README, API docs).

📚 What we learned

  1. Gemini API's flexibility: Single generateContent() call handles text, images, PDFs; generous free tier; exceptional response quality.
  2. Fallback systems are crucial: Even reliable APIs need graceful degradation; pre-built content enhances UX.
  3. ES Modules: Careful initialization and import order.
  4. User-centered design: 6-step flow, clear navigation, and loading states improve responsiveness.
  5. Vanilla JS viability: No build step, smaller bundle, direct DOM manipulation for SPAs.

🚀 What's next for InterviewIQ

  • Short-term: Deploy (Vercel/Railway), user auth, persist sessions.
  • Medium-term: Video recording, peer comparison, company-specific questions, React Native app.
  • Long-term: Multi-model support (OpenAI/Claude), analytics dashboard, B2B licensing, live coaching.
  • Technical Debt: E2E tests (Cypress), Redis caching, TypeScript, Docker.

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