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API**.\n\n----------------------\n\n## 🔗 **Live Demo**\n👉 https://ai-assistant-mheejbemf6k6ydedq3aql7.streamlit.app/\n\n----------------------\n\n## 🚀 **Overview**-\n\nThe **AI Chat Assistant** is a modern Streamlit application that enables users to:\n\n- 💬 **Chat with an AI assistant** powered by Groq’s ultra-fast **Llama 3.1 model**\n- 📂 **Upload files** (CSV, TXT, PDF) for intelligent summaries\n- 📊 **Analyze CSV data** with automated statistics, missing value detection \u0026 column insights\n- 🧠 Maintain **conversation memory** for improved context\n- 🎨 Enjoy a **clean, simple, and modern UI**\n\nPerfect for **recruiters, students, developers, and data enthusiasts** exploring real-world LLM apps.\n\n---\n\n## 🖼️ **Screenshots**\n\n### 🧠 Chat Interface  \nA clean, modern interface for AI conversations. \n\u003cimg width=\"1296\" height=\"509\" alt=\"AI INTERFACE\" src=\"https://github.com/user-attachments/assets/4b66ffa4-1f31-46fa-8c31-efa9efb0dd70\" /\u003e\n\n\n### Chat Example  \nAsk any Question to get an instant answer.  \n\u003cimg width=\"1256\" height=\"869\" alt=\"EXAMPLE CHAT BOT\" src=\"https://github.com/user-attachments/assets/66ca6469-7ae2-4f68-9e36-401d468b278b\" /\u003e\n\n\n---\n\n## ✨ **Features**\n\n### 💬 **AI Chat Interface**\n- Powered by **Groq Llama 3.1**\n- Fast responses with memory support\n\n### 📂 **File Reader Module**\n- Supports TXT \u0026 PDF  \n- Extracts and summarizes text automatically\n\n### 📊 **CSV Analyzer**\n- Dataset preview  \n- Missing value detection  \n- Column-level insights  \n- Automated summary \u0026 interpretation  \n\n### 🎨 **Modern UI/UX**\n- Styled chat bubbles  \n- Sidebar shortcuts  \n- Clean layout and responsive design  \n\n---\n\n## 🧱 **Tech Stack**\n\n| Tool | Purpose |\n|------|---------|\n| **Python** | Core backend logic |\n| **Streamlit** | UI \u0026 Web application |\n| **Groq API (Llama 3.1)** | LLM engine |\n| **Pandas** | CSV processing |\n| **PyPDF2** | PDF extraction |\n| **dotenv** | Environment variable handling |\n\n---\n\n\n\n\n## 📁 **Project Structure**\n```\nAI-ASSISTANT/\n│── app.py\n│── file_reader.py\n│── csv_analyzer.py\n│── ui_style.py\n│── requirements.txt\n│── .gitignore\n```\n\n---\n\n## 🛠️ **Running Locally**\n\n### 1️⃣ Clone the Repository\n```bash\ngit clone https://github.com/Niroj7/AI-ASSISTANT.git\ncd AI-ASSISTANT\n```\n\u003cb\u003e2️⃣ Install Dependencies\u003c/b\u003e\n```\npip install -r requirements.txt\n```\n\u003cb\u003e3️⃣ Add Your Groq API Key\u003c/b\u003e\n\n\u003ci\u003eCreate a .env file:\u003c/i\u003e\n```\nGROQ_API_KEY=your_api_key_here\n```\n\u003cb\u003e4️⃣ Run the App\u003c/b\u003e\n```\nstreamlit run app.py\n```\n## 🎉 **Thank you for viewing this project — happy learning and exploring! 🚀**\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniroj7%2Fai-assistant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fniroj7%2Fai-assistant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fniroj7%2Fai-assistant/lists"}