CmacMLApp

Machine Learning Image Classifier v1.0.0

🔍 Overview:
This project, developed by Cormac, leverages deep learning and TensorFlow to classify X-ray images, specifically identifying indications of pneumonia. The user-friendly web application provides instant predictions, visualization, and a robust feedback system for iterative improvement.

🌐 Live Demo:
Experience the power of AI in medical diagnostics through the live demo hosted on Streamlit. Try it here!

📚 Key Features:

• Upload & Visualize: Easily upload X-ray images for a visual preview.
• Instant Prediction: Utilizes a trained deep learning model for immediate predictions.
• Feedback System: Users can provide feedback, contributing to continuous improvement.
• Feedback Summary: View a summarized analysis of user feedback.

🔧 Technical Stack:

• Python 3.11.4
• Streamlit 1.25.0
• Keras 2.13.1
• TensorFlow-CPU 2.13.0
• SQLite for storing and summarizing user feedback

📊 Usage:

1. Upload an X-ray image using the file uploader.
2. Receive instant predictions and visualize results.
3. Provide valuable feedback to enhance the application.

📈 Feedback Summary:
Track user sentiments with the feedback summary feature, contributing to the app's continuous evolution.

👩‍💻 About the Developer:
Cormac, a robotics and automation undergrad, brings expertise in machine learning and software development. Follow Cormac on LinkedIn, Twitter, and Instagram for more insights.

🚀 Project Repository:
Contribute, and stay updated with the latest releases on the GitHub repository.

📣 License:
Distributed under the MIT license. See LICENSE for details.

👨‍💻 Contact:
Connect with Cormac and stay informed about future developments. Follow on Twitter and Instagram.