
Building a Fire Detection System with Next.js and YOLOv11
ludgi
Learn how to build a real-time fire detection system using Next.js, YOLOv11, and FastAPI.
Basic
Next.js, yolo, Python
This is a practical project course on running Whisper locally and quickly developing an AI speech recognition app using FastAPI and Next.js. You'll implement real-time speech recognition and complete a project that can be used as a simple portfolio piece in a short amount of time.
108 learners
Level Basic
Course period Unlimited
Next.js
whisper
FastAPI
Vibe Coding
Who is this course right for?
For those who want to run the Whisper model locally.
Anyone who wants to develop AI-based projects using FastAPI and Next.js
A beginner developer who wants to implement a real-time voice recognition feature.
For those who want to create a draft of an AI speech recognition project to use as a personal portfolio.
For those who want to complete projects in a short amount of time
Need to know before starting?
Basic Python Syntax (for FastAPI Utilization)
JavaScript and React basic concepts (for using Next.js)
REST API and WebSocket Concepts (for Backend-Frontend Integration)
631
Learners
30
Reviews
8
Answers
3.8
Rating
9
Courses
Hello, I am the CEO of Ludge Co., Ltd.
I have carried out projects across various sectors, including startups, the financial industry, and public institutions, and
I have gained experience not only in development but also in directly operating services.
Through these experiences, I have developed the ability to solve problems and complete projects by collaborating with team members and freelancers. In particular, going beyond the role of a simple developer, I have...
In this process, I have cultivated the ability to solve problems and complete projects by collaborating with team members and freelancers.
In particular, I believe I can be of even greater help to those who have a dream of running their own service, going beyond just the role of a developer.
I look forward to growing together as we experience the joy of completion and a sense of accomplishment. Thank you.
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11 lectures ∙ (1hr 13min)
Course Materials:
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$4.40
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