On-Device Neural Networks for Predicting To-Dos in Karui

https://github.com/ronynn/karui A to-do list should be smarter, not just a dumb checklist. What if your app could predict your next task based on past behavior, time of day, and patterns? Instead of manually adding the same tasks over and over, Karui could learn from you and suggest what needs to be done. Why On-Device AI? Most AI-powered apps send data to the cloud, but: Privacy: Keeping everything on-device means no data leaks. Speed: Predictions happen in real-time without network delays. Offline Support: AI still works without an internet connection. How It Works: Using Brain.js for Neural Network Predictions We can use Brain.js, a lightweight JavaScript neural network library, to train a model inside Karui, running entirely on the user’s device. 1. Training the Model We collect patterns from past tasks, such as: Time of Day (e.g., morning = “Check emails”) Day of the Week (e.g., Monday = “Plan weekly goals”) Task Frequency (e.g., “Workout” appears every 2 days) The model is trained on these inputs: const brain = require('brain.js'); const net = new brain.NeuralNetwork(); // Example training data (simplified) net.train([ { input: { morning: 1, workday: 1 }, output: { "Check Emails": 1 } }, { input: { evening: 1, weekend: 1 }, output: { "Watch Netflix": 1 } } ]); // Predict next task const output = net.run({ morning: 1, workday: 1 }); console.log(output); // "Check Emails" 2. Running Predictions in Karui Karui would pass the current time, day, and past tasks into the trained model. The app would then suggest tasks dynamically, adjusting to user habits. If you always write code at 8 PM, Karui suggests “Code for 1 hour.” If you skip workouts too often, Karui reminds you with a guilt trip. If it’s Sunday night, Karui suggests “Plan next week’s tasks.” The Future: Smarter Productivity, Minimalism Intact Karui is built to be simple and efficient, but that doesn't mean it can't be smart. A lightweight, on-device neural network could make todo lists more intuitive, without bloat or privacy risks. Would you use AI-powered task predictions in a minimalist app? Let me know!

Apr 4, 2025 - 06:09

On-Device Neural Networks for Predicting To-Dos in Karui

https://github.com/ronynn/karui

A to-do list should be smarter, not just a dumb checklist. What if your app could predict your next task based on past behavior, time of day, and patterns? Instead of manually adding the same tasks over and over, Karui could learn from you and suggest what needs to be done.

Why On-Device AI?

Most AI-powered apps send data to the cloud, but:

Privacy: Keeping everything on-device means no data leaks.

Speed: Predictions happen in real-time without network delays.

Offline Support: AI still works without an internet connection.

How It Works: Using Brain.js for Neural Network Predictions

We can use Brain.js, a lightweight JavaScript neural network library, to train a model inside Karui, running entirely on the user’s device.

1. Training the Model

We collect patterns from past tasks, such as:

Time of Day (e.g., morning = “Check emails”)
Day of the Week (e.g., Monday = “Plan weekly goals”)
Task Frequency (e.g., “Workout” appears every 2 days)

The model is trained on these inputs:

const brain = require('brain.js');

const net = new brain.NeuralNetwork();

// Example training data (simplified)
net.train([
  { input: { morning: 1, workday: 1 }, output: { "Check Emails": 1 } },
  { input: { evening: 1, weekend: 1 }, output: { "Watch Netflix": 1 } }
]);

// Predict next task
const output = net.run({ morning: 1, workday: 1 });
console.log(output); // "Check Emails"

2. Running Predictions in Karui

Karui would pass the current time, day, and past tasks into the trained model. The app would then suggest tasks dynamically, adjusting to user habits.

If you always write code at 8 PM, Karui suggests “Code for 1 hour.”

If you skip workouts too often, Karui reminds you with a guilt trip.

If it’s Sunday night, Karui suggests “Plan next week’s tasks.”

The Future: Smarter Productivity, Minimalism Intact

Karui is built to be simple and efficient, but that doesn't mean it can't be smart. A lightweight, on-device neural network could make todo lists more intuitive, without bloat or privacy risks.

Would you use AI-powered task predictions in a minimalist app? Let me know!