SenseMap

SenseMap is an ambient awareness app that transforms your surroundings into gentle visuals, real-time motion patterns, and concise AI-generated reflections. It listens to environmental signals such as light, noise, and motion, then expresses them through a calming ripple canvas and intelligent text summaries.

The goal is to create an app that feels atmospheric and informative without adding noise or stress.

Sensor data is everywhere, but most apps either ignore it or use it in a very functional way. I wanted to explore whether a phone could act like a quiet companion—observing the environment, noticing patterns, and surfacing insights in a calm, ambient way.

SenseMap became my way to combine sensing, modular Android architecture, procedural audio, and AI into one coherent experience.

• A multi-module Android architecture designed for long-term maintainability.
• A real-time sensing system for light, motion, and audio level, with rate-limited sampling and safe background behavior.
• An ambient ripple canvas in Jetpack Compose that reflects live changes in the environment.
• A procedural audio engine using AudioTrack, with no external audio assets.
• AI-generated reflections that summarize environmental changes over time.
• Adjustable settings for reflection intervals, sensitivity, and real-time feedback.
• A focus on smooth performance and a calm visual style.

SenseMap represents my ability to:

• Design and implement a complex Android application end-to-end.
• Work with sensors, background services, and UI simultaneously.
• Integrate AI in a way that supports user understanding rather than overwhelming them.
• Build a product that balances technical depth with a calm, considered user experience.

Technologies: Kotlin, Jetpack Compose, Hilt, modular Gradle setup, Android sensors, AudioTrack, AI integration.