Sloth Mode

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady

What I Built

Built: Sloth Mode 🦥 — a real-time collaborative task manager designed to reduce manual work.
Task board: Manage and organize tasks.
Open-source AI: Automatically categorize and prioritize tasks using a model running locally in the browser
Real-time collaboration: Share tasks and see updates live.
Database: Store tasks with access controls.
Note: These are the planned/built features described in your project summary; successful operation and offline functionality have not yet been verified.

Demo

https://youtu.be/64l_YbBANA8?si=TMnQlmb9jTfqVusP

Code

APP: https://sloth-inspired-open-a9md.bolt.host/
GITHUB: https://github.com/preethiprabhu30/SLOWANDSTEADY.git

How I Built It

I built Sloth Mode, a real-time collaborative task manager, using React and TypeScript. I integrated Transformers.js to run open-source AI models locally in the browser for automatic task categorization and prioritization. I used Bolt Database to store tasks securely with Row-Level Security (RLS) and implemented real-time updates for collaboration.
The goal was to reduce manual effort while keeping AI processing local, improving privacy and making task management easier.

Why Does Open Innovation Matter?

Open innovation makes Sloth Mode flexible, privacy-focused, and accessible. By using open-source AI with Transformers.js, the application can run AI models locally in the browser, reducing dependence on external AI services and helping keep task data on the user's device during local inference. It also allows developers to customize models, change how tasks are categorized, and avoid mandatory paid AI APIs. This makes task management smarter, more affordable, and aligned with the Slow and Steady theme: less manual work, more time to relax.

My Agent Session

I used an AI coding agent to build Sloth Mode step by step. The agent helped set up the project, install Transformers.js, plan the database migration, and develop the task board with local AI categorization and real-time collaboration. I then planned to connect the components and verify that the application worked as expected.

The Lazy Payoff

Sloth Mode saves time and effort by automatically organizing and prioritizing tasks using open-source AI. Instead of manually sorting every task, users can focus on what matters most while the app handles the routine work. Local AI processing can also improve privacy and reduce reliance on paid AI APIs.

Prize Categories

Sloth Mode is designed for the Slow and Steady theme by making everyday task management easier through open-source AI. It combines local AI processing, task automation, and real-time collaboration to help users work smarter with less effort.