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

623.89 MB | 18min 33s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Course Introduction.mp4 (10.39 MB)
2 -Project Setup and Execution.mp4 (19.73 MB)
1 -Setting Up Conda Environment & Basic Usage.mp4 (18.91 MB)
2 -YOLO Installation, Dataset Training, and Execution.mp4 (77.37 MB)
1 -Introduction to FastAPI and Environment Setup.mp4 (15.93 MB)
2 -Introduction to SQLite and Configuration.mp4 (33.89 MB)
3 -Creating a Next js-Style Endpoint-Centric Structure in FastAPI.mp4 (34.23 MB)
4 -Implementation of a Fire Detection API Using the YOLO Model.mp4 (39.82 MB)
5 -Serving Static Files with FastAPI.mp4 (20.17 MB)
6 -Storing Fire Detection Logs and Updating the Database Structure.mp4 (41.45 MB)
7 -Implementing Fire Detection Log Retrieval API.mp4 (38.04 MB)
1 -Installing Next js & pnpm and Running the Project.mp4 (10.35 MB)
2 -Fire Detection Frontend Development.mp4 (155.58 MB)
3 -Implementing Audio and Alert System for Real-Time Fire Detection.mp4 (43.23 MB)
4 -Responsive Web Implementation of Fire Detection Logs and Challenge.mp4 (44.17 MB)]
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