Smart Contextual Reminders

Feature Description: Omi will introduce a contextual reminder feature that adjusts reminders and schedules based on real-time external factors such as weather, traffic conditions, and location. This feature will help users make better-informed decisions by dynamically adapting their reminders.

Use Cases:

• A user says, "Omi, wake me up at 7:00 AM for work," and Omi adjusts the wake-up time based on real-time traffic conditions.

• A user says, "Remind me to take an umbrella tomorrow," and Omi activates the reminder only if rain is expected.

• "Omi, remind me to go to the gym," but if it's raining, Omi suggests an indoor workout alternative.

• When the user asks, "What’s the weather like today?", Omi provides suggestions based on planned activities.

• A user requests, "Omi, let me know when I should leave for my meeting," and Omi factors in traffic data to give a precise notification.

Benefits:

• Optimizes user schedules based on contextual data.

• Saves time by preventing unnecessary delays.

• Helps users make better decisions regarding outdoor plans.

• Enhances user experience with personalized and intelligent reminders.

Potential Challenges and Risks:

• Ensuring reliability of traffic and weather data.

• Preventing excessive schedule modifications that may disrupt user routines.

• Performance optimization for real-time data processing.

Implementation on Android and iOS:

• Android can use "Foreground Service" for continuously updating contextual reminders.

• iOS can leverage "Background App Refresh" and "Location Services" for smart notifications.

• Real-time weather and traffic updates can be fetched via API integration.

• Cloud synchronization ensures reminders remain consistent across devices.

Proposed Working Mechanism:

1. The user sets a reminder for a specific time or event.

2. Omi analyzes weather, traffic, or other contextual factors.

3. If necessary, Omi updates the reminder to optimize the user’s plan.

4. The user receives a notification about the updated reminder.

5. Users can customize sensitivity levels for contextual recommendations.