Demystify AI. Build, train, and visualize machine learning models offline. Now featuring Kaggle-style data science. The perfect hands-on sandbox for beginners.
Hakoniwa AI is different from typical apps that just let you chat with an AI over the internet. It is a pocket-sized, fully offline machine learning laboratory designed for beginners to learn how AI actually works from scratch.
While the world is flooded with giant cloud AIs, Hakoniwa AI goes the opposite way. Instead of just asking a cloud deity for answers, why not grow a "small brain" in the palm of your hand? This app lets you observe the learning process, analyze mistakes, and visually understand the hidden mechanisms of artificial intelligence.
[Key Features]
Tackle Kaggle-Style Datasets (New!)
Step into the shoes of a data scientist. Import massive CSV datasets, utilize automatic preprocessing to handle missing values or filter complex columns, and run batch predictions to generate your own submission files. Experience competitive data science completely offline on your device.
Experience Image Generation (VAE)
Train a Variational Autoencoder (VAE) to generate 16x16 pixel art. Adjust the latent space sliders to see how the AI blends and smoothly morphs different images. This hands-on mode gives you a clear understanding of how modern image generation AIs "imagine" and structure visual data.
Understand Text Generation
Watch language emerge from pure math. Train a Small Language Model and watch it generate text one character at a time. The app displays the exact probability for each next character, offering a hands-on way to understand how modern text AIs predict words.
Visualize AI Logic (Decision Trees & Random Forests)
Ever wondered how an AI makes decisions? Visualize the exact branching paths of its logic. Follow the routes of a Decision Tree to see how conclusions are reached, or explore Random Forests to understand how multiple trees vote together to make smarter predictions.
Visual Analysis for Beginners
Demystify the "Black Box." Visually verify how your AI is performing using simple Scatter Plots for numerical predictions and Confusion Matrices for classification tasks. See exactly where your AI is confident and where it gets confused.
Authentic Training Experience
Not a pretend play. Watch the error rates update in real-time as the AI learns step-by-step. Experience the challenge of teaching an AI and tuning its settings, giving you a true feel for data science.
100% Offline and Private
Matrix operations and neural network training are all natively implemented on your device. It works perfectly in airplane mode with zero data transmission, making it a safe and private sandbox for learning.
Look Inside the Code (For Supported Models)
Curious what an AI looks like inside? For supported models like numerical prediction or text generation, you can export your trained AI as raw C++, Python, Dart, or Rust code to read its internal mathematical structure.
Perfect for students, programming beginners, or anyone curious about how AI truly works under the hood. Experience the joy of growing your very own AI and observing its thoughts.
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Note: This app is a 100% offline AI learning simulator that runs completely on-device without using any external APIs.
・Improved analysis accuracy for large datasets by implementing full-data statistics with a unique value limiter of up to 1,000 items and fine-tuning the min, max, and mean calculations.
Version 3.1.8
The developer, SHIN TOMURA, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Privacy practices may vary, for example, based on the features you use or your age. Learn More
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
Seller
SHIN TOMURA
Size
28.6 MB
Category
Education
Compatibility
Requires iOS 13.0 or later.
iPhone Requires iOS 13.0 or later.
iPad Requires iPadOS 13.0 or later.
iPod touch Requires iOS 13.0 or later.
Mac Requires macOS 11.0 or later and a Mac with Apple M1 chip or later.
