Added AI Data Analysis folder

ai_agent_tutorials/ai_data_analysis_agent/README.md

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+# AI Data Analysis Agent 🤖📊
+
+An AI data analysis Agent built using the phidata Agent framework and openai's gpt-4o model. This agent helps users analyze their data - csv, excel files through natural language queries, powered by OpenAI's language models and DuckDB for efficient data processing - making data analysis accessible to users regardless of their SQL expertise.
+
+
+## Features
+
+- 📤 **File Upload Support**: 
+  - Upload CSV and Excel files
+  - Automatic data type detection and schema inference
+  - Support for multiple file formats
+
+- 💬 **Natural Language Queries**: 
+  - Convert natural language questions into SQL queries
+  - Get instant answers about your data
+  - No SQL knowledge required
+
+- 🔍 **Advanced Analysis**:
+  - Perform complex data aggregations
+  - Filter and sort data
+  - Generate statistical summaries
+  - Create data visualizations
+
+- 🎯 **Interactive UI**:
+  - User-friendly Streamlit interface
+  - Real-time query processing
+  - Clear result presentation
+
+## How to Run
+
+1. **Setup Environment**
+   ```bash
+   # Clone the repository
+   git clone https://github.com/Shubhamsaboo/awesome-llm-apps.git
+   cd ai_agent_tutorials/ai_data_analysis_agent
+
+   # Install dependencies
+   pip install -r requirements.txt
+   ```
+
+2. **Configure API Keys**
+   - Get OpenAI API key from [OpenAI Platform](https://platform.openai.com)
+
+3. **Run the Application**
+   ```bash
+   streamlit run ai_data_analyst.py
+   ```
+
+## Usage
+
+1. Launch the application using the command above
+2. Provide your OpenAI API key in the sidebar of Streamlit
+3. Upload your CSV or Excel file through the Streamlit interface
+4. Ask questions about your data in natural language
+5. View the results and generated visualizations
+