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Interview Preparation Platform** that analyzes your resume, compares it against a job description, conducts a personalized interview, and generates a learning roadmap.\n\n---\n\n## Tech Stack\n\n| Layer | Technology |\n|---|---|\n| Backend Framework | FastAPI |\n| Agent Orchestration | CrewAI |\n| LLM | Ollama (`qwen2.5:7b`) |\n| Vector Database | ChromaDB |\n| Database | PostgreSQL |\n| ORM | SQLAlchemy |\n| Frontend | React + TypeScript (Vite) |\n\n---\n\n## Architecture — 8 Agents\n\n```\nResume Upload / JD URL or Text\n        │\n        ▼\n  [1] Resume Agent        → Candidate Profile\n        │\n  [2] Job Agent           → Job Profile\n        │\n  [3] Skill Gap Agent     → Match Score + Missing Skills\n        │\n  [4] Planning Agent      → Interview Strategy\n        │\n  [5] Question Agent ←── ChromaDB RAG Context\n        │\n  [6] Interview Agent     → Live Q&A (one question at a time)\n        │\n  [7] Evaluation Agent    → Scorecard\n        │\n  [8] Roadmap Agent       → 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PostgreSQL — Create database\n\n```sql\nCREATE DATABASE interview_agent;\n```\n\n### 2. Backend\n\n```bash\ncd backend\n\n# Copy and edit environment variables\ncopy .env.example .env\n\n# Create virtual environment\npython -m venv venv\n.\\venv\\Scripts\\activate    # Windows\n# source venv/bin/activate # Mac/Linux\n\n# Install dependencies\npip install -r requirements.txt\n\n# Start the server\nuvicorn main:app --reload --port 8000\n```\n\nBackend runs at: **http://localhost:8000**  \nAPI Docs: **http://localhost:8000/docs**\n\n### 3. 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