
Next.jsとyolov11で火災検知システム構築
ludgi
Next.js, YOLOv11, FastAPIを活用してリアルタイム火災検知システムを構築する方法を学びます。
초급
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.
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)
594
Learners
29
Reviews
8
Answers
3.9
Rating
9
Courses
안녕하세요, 주식회사 럿지의 대표입니다.
저는 스타트업, 금융권, 공공기관 등 다양한 분야에서 프로젝트를 진행하며,
개발뿐만 아니라 서비스를 직접 운영하는 경험을 쌓아왔습니다.
이 과정에서 팀원 및 프리랜서들과 협업하며 문제를 해결하고 프로젝트를 완성하는 능력을 길렀습니다.
특히, 단순히 개발자로서의 역할을 넘어서 자신의 서비스를 운영하고자 하는 꿈을 가진 분들께 더 많은 도움을 드릴 수 있다고 생각합니다.
완성의 즐거움과 성취감을 함께 경험하며 성장해 나가길 기대합니다. 감사합니다.
All
11 lectures ∙ (1hr 13min)
Course Materials:
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$4.40
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