Build a Fire Detection with AI: YOLO, FastAPI & Next.js
Learn how to set up a real-time fire detection system using YOLO, FastAPI, and Next.js with a hands-on approach.
Build a Fire Detection with AI: YOLO, FastAPI & Next.js free download
Learn how to set up a real-time fire detection system using YOLO, FastAPI, and Next.js with a hands-on approach.
Description:
Kickstart Your AI-Powered Fire Detection System!
Want to build a real-time fire detection system without getting lost in complex theory? This course is designed to get you up and running quickly! You'll learn how to set up a YOLO-based fire detection model and integrate it with FastAPI for backend processing and Next.js for a web-based UI.
What You’ll Learn:
Install and configure YOLO for fire detection
Set up a FastAPI backend for real-time fire detection
Build a Next.js frontend to visualize fire detection results
Implement an alert system for real-time notifications
Store and retrieve fire detection logs efficiently
Learn how to optimize YOLO models for better performance
Discover how to deploy your application for real-world usage
Gain hands-on experience in building AI-driven web applications
Who Is This Course For?
Developers who want a quick-start template for AI-based fire detection
Beginners with basic Python knowledge looking to work with YOLO, FastAPI & Next.js
Makers and hobbyists who prefer a ready-to-run project over deep theory
Engineers looking for a foundation to expand and customize
Students and researchers interested in computer vision and AI-powered automation
This course is designed to provide a functional fire detection system that you can extend and enhance
based on your needs. Get started today!
