Neural Nectar is a series of soft, shareable machine learning experiments made with ml5.js and p5.js. Designed to be poetic, playful, and emotionally expressive, these mini-web experiences explore what it means to interact with gentle intelligence.
Created as part of ongoing research into poetic computing, aesthetic ML, and cute interfaces.
Neural Nectar is a “microbrewery” of experiments that make machine learning feel personal and alive. Each sketch is approachable, aesthetically focused, and designed for curiosity, not productivity. From mood-reactive mirrors to gesture-driven visuals, the series invites you to explore machine learning through feelings, play, and presence.
| Project | Description |
|---|---|
| 🪞 Mood Mirror | Analyzes your words and reflects your emotional aura with shimmering color and emoji. |
| 🍑 Nectar Barometer | Mic input fills a jar of digital nectar — a mood barometer for your space. |
| 🌸 Pose Petals | Your hand (or nose, eyes, elbows etc.) movements bloom into glowing flower trails. |
| 🪼 Blob Light Show testing/in progress | Touch a squishy agar blob to spark light — a soft interface for glowing interaction. |
| 🔮 (More coming soon...) | Stay tuned for future experiments that bring neural sweetness to your screen. |
- ml5.js – friendly machine learning for the web
- p5.js – creative coding in JavaScript
- teachablemachine.withgoogle.com (for custom models)
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Clone this repo:
git clone https://github.com/your-username/neural-nectar.git cd neural-nectar -
Open any project folder inside the
neural-nectar/directory. -
Launch a local server (choose one of the following methods):
Using Python:
python -m http.server
Or use the "Live Server" extension in VS Code.
-
Open your browser and go to:
http://localhost:8000
Neural Nectar embraces softness, slowness, and emotional interaction in computing. It's about gentle intelligence, not artificial dominance. Every sketch is an offering — a quiet ritual between human and machine.
- Poetic Computation – influenced by Taeyoon Choi and the School for Poetic Computation
- Cute Interfaces – inspired by Tamagotchi, Polly Pocket, and retro-futuristic design
- Accessible ML – using ml5.js to democratize experimentation and joy
Thanks to the ml5.js community and open-source contributors everywhere 💖