This repository contains a Streamlit application for classifying face masks based on user image uploads. The prediction is made using a pre-trained deep learning model.

Link deployment for public: https://face-mask-classification-by-ika.streamlit.app/

• app.py: The main Streamlit application script.
• mask_classifier.h5: The trained deep learning model used for classification.
• Face_Mask_Classification-Ika_Nurfitriani.ipynb: A Jupyter Notebook used for model training and evaluation.
• requirements.txt: To specify the Python packages and their versions that are required to run application.

1. User Input: Upload image
2. Prediction: After uploading the image, the prediction result will show.

1. Clone the repository from GitHub:

   git clone https://github.com/ikanurfitriani/Face-Mask-Classification.git
   

2. Navigate to the project directory:

   cd Face-Mask-Classification
   

3. Install the required dependencies:

   pip install -r requirements.txt
   

4. Run the Streamlit application:

   streamlit run app.py
   

The following is a screen capture from the Face Mack Classification App:

• SS1

• SS2

@Ika Nurfitriani