/FYP-Anemia-Detection

Repository to handle and maintain finalized file required for the implementation of web based Machine Learning based decipherment of Research CBC parameters in early discernment of common types of anemias

Primary LanguageJupyter Notebook

FYP-Anemia-Detection

This Repository is to handle and maintain finalized file required for the implementation of web application of Final Year Project (FYP) of BS-CSIT. The title of the project is as:

Machine Learning based decipherment of Research CBC parameters in early discernment of common types of Anemia

The software components mainly are divided into 3 parts,

· Data Engineering, Training and Backend

Python language - Sklearn - Pandas - Numpy - Flask - Tensorflow - Pickle - Plotly

· Frontend and Middleware

Python Flask Framework - JSON - Jinja templating 2.0 - Html and CSS - Bootstrap 4.0 - Main.py - JQuery - JavaScript

· Deployment

Docker and Heroku - Bash scripts - Docker compose