Build a Fire Detection with AI: YOLO, FastAPI & Next.js

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.

What you'll learn

• Set up a YOLO-based fire detection system using Python, FastAPI, and Next.js
• Train a YOLO model to detect fire from images and videos
• Build a FastAPI backend for real-time fire detection and logging
• Develop a Next.js frontend to visualize fire detection results in real-time
• Implement an alert system using audio notifications for fire detection
• Store and retrieve fire detection logs efficiently using a database
• Serve static files and integrate an API for handling real-time fire data

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.

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