Iris Species Predictor

A Machine Learning application that predicts Iris flower species based on measurements. It a Random Forest model with a dark-mode GUI.

🛠️ Setup & Installation

1. Install Dependencies

   pip install -r requirements.txt

2. Prepare Directories Ensure the following folders exist in your project root:

   • data/ (Place your iris_dataset.csv here)
   • models/
   • reports/

🚀 How to Run

1. Clean the Data

Preprocesses the raw CSV to ensure only valid features are used.

python src/clean.py

2. Train the model

Train the model on the cleaned data and get the confusion matrix and accuracy

python src/model.py

3. Launch the App

Opens the GUI to predict species.

python main.py