JavaScript Mastery via YouTube Free video
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In this video, you'll build an AI-powered architectural visualization SaaS using React, TypeScript, and Puter.js Use AI models from Claude to Gemini to transform 2D floor plans into photorealistic 3D renders with permanent hosting and persistent metadata. This project features 2D-to-3D photorealistic rendering, serverless workers, high-performance KV storage, and a global community feed.
Puter.js: https://jsm.dev/roomify-puterjs
Puter.com: https://jsm.dev/roomify-puter
CodeRabbit: https://jsm.dev/roomify-coderabbit
Junie AI: https://jsm.dev/roomify-junie
WebStorm: https://jsm.dev/roomify-webstorm
🎁 Video Kit (Code, Assets, Prompts): https://jsm.dev/roomify-kit
📋 Join the Backend Course Waitlist: https://jsm.dev/roomify-backend
⭐ More JSM Pro Courses: https://jsm.dev/roomify-jsm
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Timestamps:
00:00:00 — Introduction
00:04:46 — Project Setup
00:12:16 — Navbar
00:22:44 — Authentication
00:36:19 — Homepage
00:46:13 — Upload Files
01:09:18 — Project Architecture
01:12:13 — Hosting Images
01:26:18 — Create Project
01:48:11 — Generate 3D Design
02:11:05 — Worker in Action
02:21:47 — Display Data
02:47:22 — Compare Designs
02:59:53 — Deployment
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This is CS50P, CS50's Introduction to Programming with Python. Register for free at https://cs50.edx.org/python. Slides and source code at https://cs50.harvard.edu/python. Playlist at https://www.youtube.com/playlist?list=PLhQjrBD2T3817j24-GogXmWqO5Q5vYy0V. An introduction to programming using a la…
Instructor: Ana Bell View the complete course: https://ocw.mit.edu/courses/6-100l-introduction-to-cs-and-programming-using-python-fall-2022/ *Note: Lectures 6, 10 have been updated! This subject is aimed at students with little to no programming experience. It aims to provide students with an under…
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-Learn more and enroll in the program: https://online.stanford.edu/programs/generative-ai-technology-business-and-society-program Recent advancements in generative AI are reshaping industries, pushing technological boundaries, and revolutionizing creative processes. In this fast-changing landscape…
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Led by Andrew Ng, this course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (cluster…
