Udemy – Build a Fire Detection with AI: YOLO, FastAPI & Next.js 2025-2

Udemy – Build a Fire Detection with AI: YOLO, FastAPI & Next.js 2025-2 Downloadly IRSpace

Udemy – Build a Fire Detection with AI: YOLO, FastAPI & Next.js 2025-2
Udemy – Build a Fire Detection with AI: YOLO, FastAPI & Next.js 2025-2

Build a Fire Detection with AI: YOLO, FastAPI & Next.js. This course teaches you how to implement a real-time fire detection system by combining the YOLO model for image processing, FastAPI for backend development, and Next.js for UI design. With a hands-on approach and no heavy theoretical discussions, this course guides you from installing and configuring YOLO to building a complete web service. Throughout the course, you will learn how to create an API with FastAPI to process images, develop a user-friendly dashboard with Next.js, and add features such as real-time alerts, log storage, and model optimization. You will also learn how to deploy the system in a real-world environment and improve its performance. This project allows you to build a working example of an AI application and customize it to suit your needs.

What you will learn

  • Implementing a YOLO-based fire detection system using Python, FastAPI, and Next.js.
  • Training a YOLO model to detect fires from images and videos.
  • Building a FastAPI backend for real-time fire detection and recording.
  • Development of a Next.js frontend to visualize fire detection results in real time.
  • Implementing an alarm system using audio notifications to detect fires.
  • Efficient storage and retrieval of fire detection logs using a database.
  • Serving static files and integrating an API for real-time fire data management.

This course is suitable for people who:

  • Developers looking for a quick start with YOLO-based fire detection and planning to build their projects based on it.
  • Beginners with basic Python knowledge who need a practical introduction to YOLO, FastAPI, and Next.js.
  • Makers and enthusiasts who prefer a ready-made, practical project rather than in-depth theoretical study.
  • Engineers looking for a basic project template that they can creatively modify and improve.

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

  • Publisher:  Udemy
  • Instructor:  Sangwoo Noh
  • Training level: Beginner to advanced
  • Training duration: 1 hour and 10 minutes
  • Number of lessons: 15

Course topics

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

Prerequisites for the Build a Fire Detection with AI: YOLO FastAPI & Next.js course

  • Basic programming knowledge is recommended but not required.
  • Familiarity with Python will be helpful.
  • No prior experience with YOLO, FastAPI, or Next.js is necessary. Everything will be explained from the ground up.
  • A computer capable of running Python and Node.js.

Course images

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

Sample course video

Installation Guide

After Extract, view with your favorite player.

Subtitles: English

Quality: 720p

Download link

Download file – 593 MB

File(s) password: www.downloadly.ir

File size

593 MB