yagami_takayuki

Ah I see, most frontend frameworks have libraries that work with firebase auth. If you use an MVC like rails or .NET core MVC etc, you can use Firebase auth from a CDN and put it in script tags along with JS to work with the library.

What language/framework are you using? Typically you would implement your own authentication for learning the nuts and bolts of auth, but never for a production/live system on the web.

You would either use something like Firebase Auth or the built-in one that comes with your framework of choice. Identity in .NET core for example.

On the topic of auth, and as an aside, wondering if anyone has used a UUID + API key combination to do auth instead of JWT/cookies?

timbrematch.com

infinityvids.com

gymmrfitness.com

I find the soundtrack for EA Sports FC (the video game) exposes me to a lot of different types of music that I otherwise wouldn't be exposed to.

thank you, will look into BLIP2.

Thanks for your answer!

Thanks will experiment with a CNN.

Thanks! Will looks into this.

For recognizing features such as hair and skin color, which would do a better job? Machine learning with image classification? Or a vector database?

I've had Weaviate return a dog given a human as input when doing an image similarity search, so I was wondering if there's some way to improve the results or whether I'm barking up the wrong tree.

Niche chat with PDF app and a couple of niche dating apps.

I feel like chat with a pdf is the easiest thing to integrate into various niches -- fitness, nutrition, so many different options

A dating app that uses a vector database to find people "their type" so to speak, by uploading a photo. I also plan to use personality quizzes and prompts to enhance/highlight compatibility between people. Will incorporate NLP and recommendations using ML down the road.