Wabi-Sight: The Stone & Cloud Oracle β Nature Micro-Meditations with Gemma 2 & TabPFN
πͺ¨ The Stone & Cloud Oracle (Wabi-Sight) Micro-Meditations from Nature's Shapes β Built for Hacktoberfest 2026: "Touch Grass" πΏ What I Built β The Real Problem We live in an era of epidemic screen fatig
πͺ¨ The Stone & Cloud Oracle (Wabi-Sight)
Micro-Meditations from Nature's Shapes β Built for Hacktoberfest 2026: "Touch Grass"
πΏ What I Built β The Real Problem
We live in an era of epidemic screen fatigue. Even apps designed for the outdoors (trail navigators, species classifiers, AR games like PokΓ©mon GO) suffer from the same fundamental flaw: they keep our eyes glued downward to a piece of glowing glass. Hikers walk past ancient canopies while staring at map pins; park visitors miss the rustle of leaves because they are managing digital notifications.
I built The Stone & Cloud Oracle (Wabi-Sight) to solve this exact problem by flipping the role of AI upside down.
Instead of demanding screen time, the Oracle uses open-source multimodal AI to make the screen the shortest, most disposable part of the experience (under 15 seconds). You spot an ephemeral organic pattern outdoorsβpuddle ripples, dried mud fissures, leaf veins, lichen on stones, or wandering cloud silhouettesβand take a quick snapshot.
The Oracle extracts the pattern's geometry, crafts a poetic metaphor, and then deliberately commands you to turn your phone face down in the grass, close your eyes, and listen to the world around you.
The screen dims into an unhurried breathing circle matching your local circadian rhythm, accompanied by gentle voice guidance and a resonant Tibetan singing bowl chime that tells you when your meditation is complete.
β‘ How It Works β The Core Idea & Technical Approach
The Stone & Cloud Oracle is built with a Dual-Engine architecture engineered to unite cutting-edge open-weight foundation models, tabular machine learning, and screen-minimizing ambient audio.
1. The 5-Step User Journey:
- Spot Organic Geometry (< 5s): Spot a fleeting natural pattern on a trail or park.
- Consult the Oracle (< 10s): Snap a quick photo with the mobile camera.
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Multi-Model Synthesis:
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Prior Labs' TabPFN evaluates local circadian conditions (
hour_of_day,temperature,cloud_cover,day_of_year) from a reference ecological dataset to calculate your optimal resonant breathing cadence (e.g., 5.5s resonant rhythm for midday equanimity, 7.0s deep exhale for dusk). - Google Gemma 2 (Open-Weights) acts as a poetic naturalist (inspired by BashΕ, Thoreau, and Mary Oliver), delivering a poetic metaphor, a philosophical reflection, and a tactile somatic grounding command.
- ElevenLabs Voice Synthesis speaks the guidance aloud in an unhurried, serene naturalist voice so you never have to read the screen.
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Prior Labs' TabPFN evaluates local circadian conditions (
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The Screenless Immersion: The screen dims to a tranquil near-black view (
#030604). You place the phone face down in the grass, close your eyes, and breathe with the spoken guidance until a Tibetan singing bowl chime marks the end. - Nature Scrapbook: The observation, poetry, and element badge are preserved in an offline field journal.
2. Prize Categories:
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Best Use of Gemma ($200 Target): Powered by Google's open-weight Gemma 2 (
gemma2-9b-itvia Groq Cloud acceleration and local Ollama support). Gemma 2 serves as the poetic brain that transforms raw visual geometries into contemplative literature. -
Best Use of TabPFN ($200 Target): We integrated Prior Labs' TabPFN tabular foundation model (
pip install tabpfn). TabPFN analyzes ecological weather and seasonal data to dynamically predict circadian respiration cycles. -
Best Use of ElevenLabs ($100 Target): Uses ElevenLabs' newest
eleven_flash_v2_5model (Voice ID: "Adam") for realistic documentary-style narration, backed by native browser Web Speech API offline fallbacks. -
Best Use of Render ($200 Target): Fully containerized and deployed via a 1-click
render.yamlblueprint on Render's free tier. -
Best Use of Sentry Agent Tracing ($100 Target): Instruments the pipeline with Sentry spans (
tabpfn.forecast,vision.analyze,gemma.synthesize) to monitor end-to-end latency.
3. Why Open Innovation Matters:
- 100% Offline Trail Independence: Deep forest ravines and national parks rarely have 5G signal. Proprietary cloud APIs fail in the wild; open-weight models run locally on edge hardware with zero external dependencies.
- Privacy of Inner Life: Meditative reflections, backyard nature snapshots, and personal breath logs belong solely to the user. No personal biometric or location data is ever mined by ad networks.
- Zero Cost Forever: Free open-weights allow anyone, any school outdoor group, and any community nature club to run the software forever at $0.
π¬ Demo β Real Scenarios & Live Links
π Try the Live Web App:
π Live Deployed URL: https://stone-cloud-oracle.onrender.com
(Designed mobile-first: open on your smartphone or browser!)
π₯ Video Walkthrough
Watch the Wabi-Sight Demo Video:
(https://1drv.ms/v/c/bbab0edd6634b417/IQDno30x6Th_QJY10OC6etXrAa2IKleXIkxP4uOMRHWGv-k?e=uXjl1E)
π² A Real Trail Scenario:
- The Spotting: While walking in a park, I spotted concentric ripples in a shallow rainwater puddle.
- The Oracle's Revelation: > πΏ **The Vision: "These ripples mirror the annual growth rings of an ancient cedar, expanding toward the mossy bank." > πͺ¨ **The Reflection: "Disturbance marks the surface for only a moment; the depth remains undisturbed and still." > π¬οΈ **The Grounding: "Place your phone face down on the grass. Close your eyes, feel the sunlight on your eyelids, and take 5 slow breaths."
- The Grounding: I set the phone face down in the grass. The screen dimmed completely, soft audio guided my breaths, and a peaceful Tibetan bowl chime sounded at the 30-second mark.
- The Result: I spent 10 seconds on my phone and 5 minutes actually listening to the birds and feeling the grass beneath me.
π» Code β The GitHub Repository
The entire codebase is open-source under the Apache 2.0 license:
π GitHub Repository: https://github.com/aisha453/Wabi-Sight
Built with β€οΈ for Hacktoberfest 2026. Remember to close your laptop and go touch grass!
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.