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It remembers your past questions, retrieves relevant previous answers using semantic similarity, and gives you context-aware follow-up responses—just like a real interview coach.\n\n---\n\n## 🚀 Features\n\n- 🧠 **Memory-based Interview Coaching**  \n  Stores and recalls previous conversations for smarter interactions.\n\n- 🤖 **Powered by Claude 3.5 Sonnet**  \n  Uses the latest Anthropic model via Langchain for accurate and natural responses.\n\n- 🔍 **Semantic Recall with Cohere Embeddings**  \n  Embeds and compares user queries for smart similarity-based memory lookup.\n\n- 💬 **Streamlit Frontend**  \n  Clean, interactive interface for easy chat experience.\n\n- 🔧 **Modular Python Architecture**  \n  Clean separation of UI, logic, memory, and embeddings for easy extension.\n\n---\n\n## 📦 Installation\n\n### 1. Clone the Repository\n\n```bash\ngit clone https://github.com/your-username/CareerCoachAI.git\ncd CareerCoachAI\n````\n\n### 2. Setup `.env` File\n\nCreate a `.env` file in the root directory with the following:\n\n```\nANTHROPIC_API_KEY=your_anthropic_api_key\nCOHERE_API_KEY=your_cohere_api_key\n```\n\n### 3. Install Dependencies\n\n```bash\npip install -r requirements.txt\n```\n\n### 4. Run the App\n\n```bash\nstreamlit run streamlit_app.py\n```\n\n---\n\n## 🗂️ Project Structure\n\n```\nCareerCoachAI/\n├── streamlit_app.py         # Streamlit app interface\n├── chatbot.py               # Chat logic and prompt invocation\n├── chat_utils.py            # Load/save chat history\n├── embedding_utils.py       # Cohere embedding + similarity matching\n├── history.json             # Persistent chat history\n├── embeddings.json          # Embedded Q\u0026A for similarity recall\n├── requirements.txt\n├── README.md\n└── .env                     # API keys (not tracked by Git)\n```\n\n---\n\n## 🔮 Future Enhancements\n\n* Use FAISS or ChromaDB for scalable vector search\n* Add resume-based Q\\\u0026A and context awareness\n* Topic tagging for strengths/weakness identification\n* Session-level tracking or multi-user support\n* Dashboard for interview prep analytics\n\n---\n\n## 🧠 Built With\n\n* [Streamlit](https://streamlit.io/)\n* [Langchain](https://www.langchain.com/)\n* [Anthropic Claude 3.5 Sonnet](https://www.anthropic.com/index/claude)\n* [Cohere Embeddings](https://cohere.com/)\n* [Scikit-learn](https://scikit-learn.org/)\n\n---\n\n## 🛡 License\n\nThis project is licensed under the MIT License.\n\n---\n\n## 👤 Author\n\n**\\Padma Dey**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeypadma2020%2Fcareercoachai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdeypadma2020%2Fcareercoachai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdeypadma2020%2Fcareercoachai/lists"}