🌼 Flower Species Predictor

This is a simple machine learning web app that predicts the species of a flower based on its sepal length, sepal width, petal length, and petal width. It uses a RandomForestClassifier model and is deployed with a user-friendly Streamlit interface.

🔍 Overview

• 📊 Model: RandomForestClassifier (Scikit-learn)
• 🌸 Dataset: Iris Dataset (built-in in scikit-learn)
• 🖥️ Frontend: Streamlit
• ⚙️ Features Used:
  • Sepal Length
  • Sepal Width
  • Petal Length
  • Petal Width

🧠 How It Works

1. The model is trained on the famous Iris dataset.
2. User inputs values for sepal/petal measurements.
3. The trained model predicts the species of the flower.
4. The prediction is shown instantly on the Streamlit web app.