We have developed a CheXNet machine learning algorithm to diagnose Pneumonia by analyzing the X-rays.
We will run that algorithm on some X-ray Images to collect the Machine generated results.
In the same way, we manually diagnose the x-rays by Radiologist to generate Human/User generated result.
By comparing both the results, the user will get a score against the machine.
• Created a RadAIJournal website template Using Python, Flask, CSS, HTML, and Jinja.
• Included login authentication and mail confirmation using SQLAlchemy.
• Delivered a working prototype for machine learning phase.
1. Python
2. pip
3. Flask library
4. SQLAlchemy
5. wtforms