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I'm building a weight-loss app that leverages LLM to do 2 things: 1. Analyze calories/macronutrients from a text description or photo 2. Provide onboarding/fe
by callmeed 3y ago
I'm building a weight-loss app that leverages LLM to do 2 things:
1. Analyze calories/macronutrients from a text description or photo
2. Provide onboarding/feedback/conversations like you'd get from a nutritionist
https://www.fatgpt.ai/ https://www.fatgpt.ai/
My stack is Ruby on Rails, PostgreSQL, OpenAI APIs. I chose Rails because I'm very fast in it, but I've found the combination of Rails+Sidekiq+ActionCable is really nice for building conversational experiences on the web. If I stick with this, I'll probably need a native iOS app though.
Vendor stack is: GitHub, Heroku (compute), Neon (DB), Loops.so (email), PostHog (analytics), Honeybadger (errors), and Linear.
- throwup238 3y ago> 1. Analyze calories/macronutrients from a text description or photo Step 1: Is it a hot dog or not hot dog? https://www.youtube.com/watch?v=ACmydtFDTGs https://www.youtube.com/watch?v=ACmydtFDTGs I'm glad someone is keeping the dream alive!
- callmeed 3y agoJokes aside, GPT-4 Vision is surprisingly good at noticing facts from food images. For example: - In my chipotle bowl, it can tell if I had brown rice vs white rice - In my In-n-out, it can tell if I got it protein style It struggles with accurate weights/volumes but I'm excited about where this is going.
- adrianmonk 3y agofatGPT... the LLM that helps you be more model, less large.
- gremlinsinc 3y agoour large language model is large so you don't have to be.
- callmeed 3y agoTransformers that transform your body