Iris Flower Classifier and Visualization App

🌺 Iris Flower Classifier and Visualization App 🌺

This Streamlit app helps you predict the species of an Iris flower πŸ’ based on its measurements! πŸ“

Features ✨

  • Easy to Use Interface: Input flower measurements with simple sliders 🎚️.
  • Accurate Predictions: Powered by a trained machine learning model 🧠 for reliable results.
  • Clear Results: See the predicted species along with your input measurements πŸ“Š.

How to Run πŸš€

  1. Active the Virtual Enviroment: (run below command if you want to use virtual environment on Linux)
    . venv/bin/activate 
    
  2. Install the Essentials:
    pip install -r reqiurments.txt
    
  3. Start the App:
    streamlit run streamlit_app.py
    

Usage

  1. Open the app in your web browser 🌐.
  2. Adjust the sliders to enter the sepal and petal measurements.
  3. Click β€œPredict” to see the magic! πŸͺ„
  4. The predicted Iris species will be displayed.

Built With πŸ› οΈ

  • Streamlit: For building the interactive web app ✨.
  • Scikit-learn: For training the machine learning model 🧠.
  • Pandas: For handling the Iris dataset πŸ“Š.

Contributing 🀝

Want to help improve the app? Feel free to open an issue or submit a pull request! πŸŽ‰




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