Overview

Mornova AI is a personalized wake-up assistant that blends smart lighting, AI-driven scheduling to create a smoother, more natural morning experience.

Instead of harsh alarms, Mornova gradually wakes you up using adaptive light, sound, and real-time insights like weather and calendar adjustments.

“If setting alarms, snoozing them ten times, and still waking up like a zombie is your morning routine—meet Mornova AI, your new wake-up sidekick.”

Purpose & Goals

Mornova Lamp: Design Iterations 2 & 3

• Address the real user need for a gentle, adaptive wake-up experience.
• Demonstrate practical integration of machine learning (LLM).
• Implement effective edge computing and sensor interactions using Raspberry Pi.
• Present a clear, end-to-end experience from data connectivity to user interface.
• Clearly communicate the design process and rationale through diagrams and visuals.

Final Deliverables

• Video 1: Dashboard demo showing alarm settings and interaction with AI.

• Video 2: Physical lamp demo showcasing light and sound wake-up with a tap-to-snooze function.

• Source Code Repository: https://github.com/duorfan/MornovaAI

• Documentation: this Notion page~

  Other personal links: Google survey google calendar client

🔧 System Architecture Diagram

The system follows a structured workflow where user input, external data (weather, schedule, music), and AI-driven logic determine the wake-up experience.

1. User inputs preferences → Preferences are stored in a database.
2. APIs fetch data → Retrieves weather conditions, schedule, and music choices.
3. Processing & AI Analysis → Adjusts wake-up time based on external factors.
4. Wake-Up Time Adjustment → Generates an optimized wake-up suggestion.