# 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)