Low-code Image Classifier - with fast.ai, fastAPI, & Bubble
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Video Description
In this speedrun, we build a NoCode/Low-Code SaaS that can classify user-uploaded images as radiographs (X-Rays) or photographs. We use: - fast.ai + AWS SageMaker to train an image classifier - fastAPI to build a simple API - and Bubble for our database and front-end. This is a very quick way to build an computer vision platform / prototype. Note that b/c this was recorded as a "speedrun", there are a few mistakes that are retro-actively corrected (e.g., installing fast.ai). I'd recommend watching the whole video before trying to follow along. Let me know if this is helpful, and/or if you get stuck!
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