NatureRise is a gentle alarm clock that wakes you with the soothing sounds of nature. Instead of loud, jarring alarms, you’ll rise gradually to the calming ambiance of birdsong, ocean waves, rain, wind through trees, or your own custom mix of natural soundscapes.

Whether you're a nature lover, a light sleeper, or just tired of being startled awake, NatureRise is designed to help you begin each day feeling calm, refreshed, and connected.

Key Features:

• Gentle Wake-Up: Alarm gradually increases volume for a smooth, stress-free morning.
• Nature Sound Mixer: Create your perfect wake-up atmosphere with customizable combinations of sounds like birds, rain, wind, and waves.
• Simple & Clean Interface: Easy to set, easy to use—even when half asleep.
• Lightweight & Minimal: Built for focus and relaxation, not clutter.

Coming Soon:

• Night mode with sleep sounds
• More wake-up sounds
• Better stability & bug fixes

NatureRise is currently in alpha, and I'm actively looking for testers and feedback!
Contact me if you want to help and try it out.

TRack is a lightweight inventory management system built in PHP. It helps organize objects stored on shelves, which in turn belong to racks — reflecting the structure of real-world storage systems. Want to learn more about the project or even try it out yourself? Go visit my GitHub Repo TRack.

Urban areas are known for their "heat island" effect, where cities tend to be warmer than their rural surroundings. To tackle this issue, I undertook a project as part of my matura examination to simulate surface temperatures in urban environments using computer modeling. This simulation can help us explore new methods of natural cooling for cities before implementing them in real life, potentially saving time and money.

The Objective

The goal of my project was to create a computer model capable of analyzing surface temperatures in urban areas. By doing this, we can identify areas that are most affected by heat and target them for cooling interventions without relying solely on costly and extensive measurements.

The Approach

I developed the simulation using JavaScript, incorporating key factors such as Solar Radiation, Evapotranspiration, Heat Diffusion, Heat Convection. Using this model, I simulated a test-scenario and generated heat maps. These simulated heat maps were then compared to actual measured heat maps of the same area.

Findings

The comparison revealed that my model could realistically depict the distribution of surface temperatures, considering the physical properties of various surfaces. While the specific temperature values from the simulation differed from the measured values, the model effectively provided a general overview of the heat distribution within urban settings.

Conclusion

Through this project, I was able to gain valuable insights into how computational models can support urban planning and environmental decision-making. The Urban Surface Heat Model demonstrates how technology can be used to visualize and better understand the complex interactions that drive surface temperature in cities. While there is still room for refinement and expansion, this project lays the foundation for further development in the simulation of urban climate effects. I'm proud to have built a tool that not only supports sustainability but also contributes to smarter and more efficient urban design.