in this lesson. we will build a real-time fire detection system using next.js. python anaconda. and yolo.
the backend will be built with fastapi to ensure a fast and efficient system.
first. we will learn how to use the yolo model to detect fires in real-time.
then. we will set up an anaconda environment to easily manage our machine learning project.
we will build a dashboard using next.js and develop the backend with fastapi.
this way. fire detection data can be monitored in real-time through the web.
in this lesson. we will build an ai-powered fire detection system from start to finish.
we will go step by step through object detection using yolo. setting up the python environment. developing the web frontend. and building the backend api.
now. it's time to build it ourselves. see you in the lesson!