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It helps you study any custom topic by generating educational material, creating practice quizzes, and providing interactive tutoring feedback. \n\nThe system runs entirely locally on your machine using **Ollama**, **Mistral**, and **CrewAI**.\n\n---\n\n## 🧠 System Architecture & Workflow\n\nThe system utilizes exactly **3 specialized agents** executing in a strict sequential chain:\n\n```\n[ User Topic Input ]\n         │\n         ▼\n ┌───────────────┐\n │  Topic Agent  │ ──► Generates clear explanation\n └───────────────┘\n         │\n         ▼\n ┌───────────────┐\n │  Quiz Agent   │ ──► Analyzes explanation & creates practice questions\n └───────────────┘\n         │\n         ▼\n[ User Answers Input ]\n         │\n         ▼\n ┌───────────────┐\n │Feedback Agent │ ──► Grades answers & provides tutoring feedback\n └───────────────┘\n         │\n         ▼\n[ Tutor Evaluation & Score ]\n```\n\n\n\n### Flow Details:\n1. **Topic Agent**: Simulates an expert teacher, generating clean and structured explanations of complex concepts for beginners.\n2. **Quiz Agent**: Receives the Topic Agent's explanation and constructs 3 multiple-choice questions (MCQs) with options, keeping correct answers hidden.\n3. **Feedback Agent**: Receives the original material, the questions, and the user's input answers. It grades the answers, provides explanations for each correct/incorrect option, and calculates a final score (e.g., `2/3`).\n\n---\n\n\nhttps://github.com/user-attachments/assets/7dacf856-787b-46eb-9afe-eefcfac16614\n\n\n## 🛠️ Tech Stack & Setup\n\n*   **Language**: Python 3.12+\n*   **Orchestration**: CrewAI\n*   **Local LLM**: Ollama (Mistral model)\n*   **UI Framework**: Streamlit\n\n### Prerequisites\n\n1.  Download and install [Ollama](https://ollama.com/).\n2.  Pull the Mistral model in your terminal:\n    ```bash\n    ollama pull mistral\n    ```\n\n### Installation\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/tisha-varma/AI-study-Buddy.git\n   cd AI-study-Buddy\n   ```\n\n2. Create a virtual environment and activate it:\n   ```bash\n   python -m venv .venv\n   # Windows:\n   .venv\\Scripts\\activate\n   # macOS/Linux:\n   source .venv/bin/activate\n   ```\n\n3. 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