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in this lesson. we will build a real-time fire detection system using next.js. python anaconda. and yolo. 

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the backend will be built with fastapi to ensure a fast and efficient system.  

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first. we will learn how to use the yolo model to detect fires in real-time. 

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then. we will set up an anaconda environment to easily manage our machine learning project.  

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we will build a dashboard using next.js and develop the backend with fastapi. 

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this way. fire detection data can be monitored in real-time through the web. 

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in this lesson. we will build an ai-powered fire detection system from start to finish. 

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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.  

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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.  

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now. it's time to build it ourselves. see you in the lesson!