Web application for Humberside Fire & Rescue Service.
This web application will be used for employees at HFRS. The forte is that a ML model will be deployed on said web application, this model will be used to indentify varying levels of fire risk to commerical buildings within the Humberside region. A web application is ideal as usability is strong.
The ML model uses ensemble learning methods such as AdaBoost. ....
Technologies used:
- Flask, SQLAlchemy, HMTL, SCSS, JS, Python
To note; this solution has been partially done following a online tutorial: https://www.youtube.com/watch?v=dam0GPOAvVI&t=5759s&ab_channel=TechWithTim