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+# Plant Leaf Disease Classification and confedence Estimation using Neural Networks with Fuzzy Logic
+
+The Model was trained and reported by Bilal Al Asha and the fuzzy logic code and report was done by mahdi alwis
+
+## Prerequisites
+
+- **Python** – Version **3.11.9** or later **3.12.10**
+- **pip** – Python package installer
+
+## Setup Instructions
+
+### 1. Download the Dataset
+
+Download the dataset from the following link:  
+[`https://www.kaggle.com/datasets/emmarex/plantdisease`]
+
+### 2. Remove Existing Dataset Files
+
+> **Important:** Before proceeding, **delete any file with the same name as the dataset** inside the main dataset folder when you get it.  
+> Failure to do so will cause the model to **memorize** the data during training, leading to incorrect results.
+
+### 3. Create and Activate a Virtual Environment
+
+Open a terminal in the project root directory and run:
+
+```bash
+python -m venv venv
+```
+
+Activate the environment:a
+
+OS	Command
+Windows	venv\Scripts\activate
+Linux	source venv/bin/activate
+macOS	source venv/bin/activate
+
+Install Dependencies
+
+```bash
+pip install -r requirements.txt
+```
+Configure Jupyter Kernel (if using Jupyter Notebook)
+
+f you plan to use Jupyter Notebook, make sure to select the newly created virtual environment as the kernel:
+
+Open Jupyter Notebook
+
+Go to Kernel → Change kernel
+
+Select the kernel named after your virtual environment (e.g., venv)