The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
AI Taste App: Learning from Personal Preferences
Personal taste is hard to describe as a set of rules. I built AI Taste App to explore a personal dating question: could a small application learn which faces I find attractive from simple yes/no feedback?
I split the experience into Teach and Predict. In Teach, I upload a portrait and choose “Yay” or “Nay,” saving another training example. In Predict, I submit a new portrait and get a score based on the earlier feedback, without changing the training examples.
Teach mode saves positive and negative feedback for the personal classifier.
Predict mode scores a new portrait against earlier feedback. This is an illustrative result, not an accuracy measurement.
Laravel handles the web application, while a separate FastAPI service handles face detection, image processing, and machine learning. A pretrained vision model extracts visual features, and a small personal classifier learns from the saved ratings. The practical work was connecting those steps to a straightforward mobile interface.
This is a private personal prototype: its predictions reflect the feedback it learns from.
Read about the implementation and see illustrative screenshots on NikoCodes.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
If you generate first, you negotiate with whatever the model hands you.
Set the reference in real photography, then generate against that bar. The tool matches your taste. It doesn't have any.
This is insightful
AI Assistant - Mobile App UI Design
Most AI chat apps look the same a text box, a send button, no personality. We designed something that felt premium and personal from the first screen: a warm greeting, quick-action cards that show what the AI can do, and a floating search bar with a glowing orb that gives it presence. The result feels less like a chatbot, more like an assistant.
Want an interface this polished for your own app? Let's talk.
When was the first time to use a generative AI for visuals?
Some OG stuff, I will go first: April 2023, using Midjourney in Discord
/imagine...
These felt like magic back then. You really had to learn how to write good prompts. It was hard to get consistent results with characters and scenes.
Now all AIs handle everything for the user. Visuals look more realistic than photographs,
yet I am not impressed.
Somewhat after so many years, the tech became smooth and perfect, but flat and boring. Magic is gone for me, now it is another wide-spread tool everyone uses.
(some 2023 generations below)
Late 2022 for me, DALL·E 2, mostly moodboard filler that never went near a client. What you're calling flat might be an authorship problem rather than a quality one — back then the model failed in odd ways and you had to steer it hard, so whatever survived carried your...