Echotune
AI-Powered Smart Alarm for Personalized Time Management Blending music, light, and AI to create a more adaptive wake-up experience
Role: Designer & Developer
Collaborated with teammates to design and prototype a smart alarm device that integrates AI, music, and lighting to personalize how users manage time and wake up.
Problem
Traditional alarms rely on harsh, fixed sounds that ignore task urgency and personal preferences. Many users also want to reduce phone use in the bedroom but still need a simple way to plan their day. Existing alternatives either lack urgency-based personalization or remain tied to screens.
Solution
We created Echotune, a multifunctional alarm clock that acts as a personal assistant:
- Users set alarms by speaking an event (e.g., “I have an interview at 5 PM”).
- Google Speech-to-Text API transcribes the input, and GPT-4 extracts the activity, standardizes the format, and classifies it as urgent or non-urgent.
- Based on urgency, the device plays fast-paced music with blinking LEDs (urgent) or soothing music with steady light (non-urgent), integrating the Spotify API for personalized playback.
- Gradual transitions, lamp mode, and an adjustable folding structure support comfort and usability.







Impact
- Showcased how LLMs can power natural language understanding in IoT devices
- Enhanced personalization by aligning alarms with task urgency rather than fixed tones
- Helped reduce reliance on phones for planning and reminders
- Improved usability through adjustable design (foldable states for clock, lamp, and portability)




Skills & Tools
- Large Language Model (GPT-4) → extracted, reformatted, and classified spoken tasks
- Voice & Music Interfaces → Google Speech API + Spotify API for transcription and playback
- Hardware Development → Arduino Uno & Leonardo for sensors, LCD, and LED control
- UX & Product Design → iterative design for multi-mode use (clock, lamp, nightlight)
- Prototyping & Collaboration → rapid prototyping with cross-disciplinary teammates
Keywords: smart devices · LLMs · AI in daily life · IoT · human-centered design · time management