AtmosMorphSentry: A High-Fidelity 144Hz Atmospheric Dashboar

The Challenge

Standard data dashboards are often static and detached from the physical world. I wanted to create a system where environmental data—specifically for Mumbai—becomes a physical experience through Human-Computer Interaction (HCI).

The Solution: AtmosMorphSentry

The system uses a Hall Effect sensor connected to an Arduino Uno as a contactless magnetic latch. When a magnet is swiped, it triggers a 115200 baud serial handshake with a custom Python engine.

The engine then executes an asynchronous dual-API fetch to retrieve live AQI, Temperature, and Wind Speed. To visualize this, I developed a Negative-Space particle engine that morphs 4, 000 active particles into data "voids, " optimized for 144Hz displays to ensure fluid motion.

Key Technical Features

Hardware: Arduino Uno + Hall Effect Sensor + Serial-over-USB.

• Hardware: Arduino Uno + Hall Effect Sensor + Serial-over-USB.

Software: Python 3.10+ (Pygame, Multi-threading).

• Software: Python 3.10+ (Pygame, Multi-threading).

Optimization: Low-latency debouncing and high-refresh-rate rendering.

• Optimization: Low-latency debouncing and high-refresh-rate rendering.

Data: Real-time OpenWeatherMap API integration.

• Data: Real-time OpenWeatherMap API integration.