bMRI_analyzer - a demo website which provides doctors and nurses with a Patient Control Systems and an ML module for automatic brain MRI image tumour classification and segmentation.

Developed as coursework for my 3rd year of study, it combines the knowledge I received during my Web Programming, Distributed Systems, Python and DBMS courses. It's a containerized web application ready for deployment and scaling. Following technologies were used during its development:

• Python
• Flask
• FastAI
• Keras & Tensorflow
• SQL-Alchemy
• OpenCV
• MySQL
• HTML/CSS/JS
• Docker

Since the application is deployed via docker-compose, its structure can be viewed in the docker-compose.yml file. The general structure is the following:

DB structure can be described by:

Data Flow Diagram

Entity Relation Diagram

To run web application locally all you need is to clone the repository and run

$ docker-compose up --build

It will automatically install all dependencies and sequentially run all the containers needed for applications work.

Few screenshots describing application work Homepage

Patients list

Image analysis results Page