ODonnell-Orbit-Watch

Orbit is a smartwatch designed specifically to help children and adults with ADHD manage their time and tasks effectively. The watch works through a series of customizable, parent-programmed alerts and reminders that help guide users through their daily routines. This software would be accessible via a companion mobile app, where users or caregivers can set up schedules, assign tasks, and configure reminders in a way that best suits their needs.

Table of Contents

1. About the Project
2. Intended Functions
3. How to Run the Code
4. Planned Enhancements
5. Project Roadmap
6. Team Members
7. Licenses & Acknowledgements

About the Project

Orbit Watch works through customizable, caregiver or user-set, reminders, timers, and reinforcement to guide ADHD users through structured routines. Visual and tactile cues reduce dependence on sound-based alerts and create a low-disruption experience, especially in classroom or work settings.

Intended functions

• Customizable Alerts & Reminders:

  • Users can schedule task reminders, such as homework time, brushing teeth, or getting ready for school, through a mobile app.

• Vibrational & Visual Cues:

  • Instead of relying on sound-based notifications (which can be distracting in class or work), the watch uses vibrations and visual cues to notify the user.

• Routine Management:

  • Create detailed schedules, including morning and evening routines, with specific timed blocks for each task (e.g., Wake Up, Eat, Brush Teeth, Get Dressed, etc.).

• Persistent Reminders:

  • Tasks remain on the watch until marked complete, helping users stay accountable.

• Countdown Warnings:

  • Users receive transition warnings at intervals (e.g., 15, 10, 5, and 1 minute) before the next scheduled task begins.

• Task Timers:

  • Includes general timers, Pomodoro-style timers, and programmable task timers (e.g., Clean Room – 15 minutes, Daily Reading – 30 minutes).

• Positive Reinforcement System:

  • Tracks behaviors such as completing tasks and meeting weekly goals, rewarding users with encouragement or parent-set rewards.

• AI Task Breakdown:

  • AI helps break down complex tasks into simple, timed steps, making large tasks more manageable.

• Emergency Notifications:

  • Quick-call or message alerts to caregivers in case the user needs assistance.

• Offline Mode:

  • Works without requiring a constant internet connection, reducing distractions and increasing reliability.

How to Run the Code

• ( To be completed after things are finalized -place holder for now. )*

Planned Enhancements

Project Roadmap

See 'projectroadmap.md' for full task tracking and sprint updates.

This document includes:

Team Members

• Tanya Odonnell
• Elizabeth Diaz
• Amanda Poss
• Kayla Hunley

Licenses & Acknowledgements

This project is built for educational purposes as a part of the KSU HMI program. This is a work in progress, some components may not be fully functional. This is a project for KSU MSHMI Spring 2025.

We gratefully ackowledge:

• Chosen Repository
• place holder
• Kennesaw State University and the HMI 7540 course

Unless otherwise stated, this project is not licensed for commercial distribution.