🧠 AI-Powered Interview & Learning Assistant

This is a full-stack Next.js 14 project enhanced with powerful AI features including real-time interviews, personalized course generation, and interactive PDF analysis.

Built using:

• Next.js App Router
• Vapi for real-time voice interviews
• OpenAI / Gemini APIs
• LangChain / LlamaIndex

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🌟 Key Features

🎙️ 1. Real-Time AI Interview (Vapi Integration)

• Conducts mock interviews in real time using voice input and output.
• Provides instant feedback after the session using structured evaluation.
• Built with Vapi Web SDK and connected to OpenAI or OpenRouter.

📚 2. AI Course Generator

• Enter a topic or goal.
• The AI builds a custom learning plan, complete with modules, resources, and timelines.
• Uses LLM + curated web sources for updated course content.

📄 3. PDF Analyzer with Q&A

• Upload any PDF file.
• Ask natural language questions about the content.
• Uses document chunking, embedding, and LLM-based retrieval (via Pinecone or local vector store).

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🔧 Getting Started

1. Clone the Repository

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

🔧 Install Dependencies

2. Put these lines in the vs code working folder

npm install
# or
yarn install

🔧 Environment Variables

3. Create a .env.local file in the root with the following:

NEXT_PUBLIC_SUPABASE_URL=your_supabase_url
NEXT_PUBLIC_SUPABASE_ANON_KEY=your_anon_key

OPENAI_API_KEY=your_openai_key
VAPI_API_KEY=your_vapi_key

PINECONE_API_KEY=your_pinecone_key
PINECONE_ENVIRONMENT=your_pinecone_env
PINECONE_INDEX=your_index_name

🔧 Run the App Locally

npm run dev
# or
yarn dev

Visit http://localhost:3000 in your browser.

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🧭 How to Explore the App

AI Interview

💡 Tech Note: Uses @vapi-ai/web to handle voice streams and events.

• Navigate to /interview or click "Start Interview" on the homepage.
• Choose your interview type (Frontend, Backend, System Design, etc.)
• Speak into the microphone — the AI responds in real-time.
• After the session, get structured JSON feedback: strengths, improvements, scores.

Course Generator

💡 Tech Note: Powered by OpenAI + Web search + custom prompt engineering.

• Go to /course-generator.
• Enter your topic or career goal (e.g., "Learn MERN stack", "DSA for interviews").
• AI creates a multi-week learning plan with topics, resources, and tasks.

PDF Analyzer

💡 Tech Note: Uses LlamaIndex + vector storage (Pinecone or FAISS).

• Visit /pdf-chat or /analyzer.
• Upload a .pdf file.
• Ask any question related to the content (e.g., "Summarize chapter 2", "What is the definition of XYZ?").
• AI returns contextual answers from inside the document.

📦 Folder Structure

├── app/                # App directory (App Router)
│   ├── interview/      # Vapi integration for voice interviews
│   ├── analyzer/       # PDF upload and chat interface
│   ├── course-generator/
│   └── layout.js       # Shared layout
├── components/         # Reusable components
├── lib/                # Vapi setup, OpenAI wrappers
├── public/
├── styles/
├── utils/              # Helpers, prompts, etc.
└── .env.local          # Your API keys

🤝 Contributing

• Fork the repo
• Create a feature branch: git checkout -b my-feature
• Commit your changes
• Push and create a PR

📬 Feedback & Contact

• Feel free to reach out or raise an issue if you encounter bugs or want to request features.