DeepCook: Code Your Way Through Everyday Chores
summary
A small system turns a hand-curated CSV of about 40 meals and rich features — prep time, ingredient flags, recipe links — into deterministic suggestion functions that share the same core functions between a CLI and Streamlit web app. The claim is concrete: structured features reduce daily decision load for a family of four, the implementation is Python, the duo of interfaces works, and general models like GPT chat are useful but do not encode this household's constraints.
AI-written summary · about
chapters (5)
related talks
18mLearning How To Cook...
24mLightning Talks
01h 58mHow to create beautiful interactive GUIs and web apps
42mStreamlit: A Faster Way to Build and Share Data Apps
35mVibe Code Your Personal Operating System | AI Productivity with Bethany Crystal
46mLightning Talks
01h 28mHacking the Data Science Challenge
47mChasing the Main Thread - Adventures in AI Assisted Coding