DijkstraGraph vs Hakoniwa AI

Learn, Play, and Explore graph theory and Dijkstra's shortest path algorithm with DijkstraGraph! Create and edit simple graphs and add edge weights. Rearrange the vertices and interact with the adjacency matrix to explore graph and matrix structure. Play through Dijkstra's shortest path algorithm step by step to identify a shortest path between two vertices. Play through the algorithm on the connected graph you create or explore one already created for you! Create and edit simple graphs - Add and delete vertices and edges - Add and edit weights on each edge - Rearrange vertices to explore graph Interact with the adjacency matrix - Tap on a vertex or edge to highlight corresponding rows and columns in adjacency matrix Play or Explore Dijkstra's shortest path algorithm - Play through Dijkstra's shortest path algorithm on the graph you create! - Or Explore the algorithm on a built in demo graph - Choose a start and end vertex then follow the instructions to step through the algorithm - Complete each step successfully to advance to the next part of the algorithm - After completing the algorithm, use the results to identify the shortest path Run - Don't have time to play through the algorithm?  - Choose a start and end vertex and run the algorithm to identify shortest path

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.