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Author: Hozaifa <20hozaifa02@gmail.com>
Date:   Thu Jul 3 17:30:06 2025 +0600

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+# Automated Sales Report Generator
+
+A simple and efficient Python script to automate the process of generating daily sales summary reports from a CSV file. This tool is designed to eliminate repetitive manual work, reduce errors, and provide quick insights into sales performance.
+
+## 🚀 Features
+
+-   **Reads Data from CSV**: Seamlessly ingests sales data from a `.csv` file.
+-   **Calculates Key Metrics**: Automatically computes total revenue from the sales data.
+-   **Generates Formatted Reports**: Creates a clean, human-readable text file summarizing the calculated metrics.
+-   **Robust File Handling**: Automatically creates the output directory if it doesn't exist, ensuring the script runs without errors.
+
+## 🛠️ Tech Stack
+
+-   **Language**: Python 3
+-   **Libraries**:
+    -   `pandas`: For efficient data manipulation and analysis.
+    -   `os`: For cross-platform compatible path and directory management.
+
+## ⚙️ Setup and Installation
+
+To get this project running on your local machine, follow these steps.
+
+1.  **Clone the repository:**
+    ```sh
+    git clone [https://github.com/your-username/automated-report-generator.git](https://github.com/your-username/automated-report-generator.git)
+    ```
+
+2.  **Navigate to the project directory:**
+    ```sh
+    cd automated-report-generator
+    ```
+
+3.  **Install the required dependencies:**
+    *(Ensure you have a `requirements.txt` file in your project directory containing the line `pandas`)*
+    ```sh
+    pip install -r requirements.txt
+    ```
+
+## Usage
+
+1.  **Prepare Your Data**:
+    Place your sales data in a file named `sales_data.csv` in the root of the project directory. The CSV file must contain at least a `Sale_Amount` column.
+
+    *Example `sales_data.csv`:*
+    ```csv
+    Date,Product,Sale_Amount,Region
+    2025-07-03,Product A,150.00,North
+    2025-07-03,Product B,200.50,South
+    2025-07-03,Product A,140.00,North
+    ```
+
+2.  **Run the script:**
+    Execute the main script from your terminal.
+    ```sh
+    python report_generator.py
+    ```
+
+3.  **Find Your Report**:
+    The script will generate a summary report and save it in the `reports` directory. The file will be named with the current date, e.g., `reports/summary_2025-07-03.txt`.
+
+    *Example Output (`summary_2025-07-03.txt`):*
+    ```
+    Sales Summary Report
+    Date: 2025-07-03
+    --------------------
+    Total Revenue: $490.50
+    --------------------
+    ```
+
+## ✍️ Author
+
+-   **S. M. Hozaifa Hossain**
+-   **GitHub**: [your-github-username](https://github.com/your-username)
+