BloomSim started as a smartwatch app for a class project. Along the way it grew into a smartwatch and mobile experience, and eventually a concept video submitted to the AAF Awards (student division).
Plenty of people want to grow a specific plant but have no way of knowing whether it will survive in their current environment. BloomSim aims to answer that question first, by simulating how a plant will grow over a chosen time frame, in an environment the user can customize.
I started by researching existing apps to see whether any were already tackling the same problem. I also interviewed two potential users as I shaped the concept.
The first version lived on a watch, so every screen had to ask for one decision at a time. The home screen shows four live readings (temperature, CO₂, humidity and lighting) and a simple menu: Flowers, Environment, Run simulation and History.
From there the flow is a short chain of choices. Pick a flower (roses, lilies, tulips or carnations), pick a season, adjust any of the four environment variables, then run the simulation. I mapped each of those steps as its own screen so it was always clear what was being changed.




While designing the watch, I also explored pairing it with AR glasses to view a garden hands-free. It was not part of the final project, but it was part of how I considered where the experience could go.
As the project grew, I extended BloomSim to mobile. The app opens with a short four-step onboarding (welcome, real-time growth predictions, AI-powered guidance, and smartwatch and mobile sync), then lands on a dashboard with plant search and the current environment at a glance.
The mobile app adds fuller control: customizing a new environment with an Edit option for each variable, a dedicated flower selection screen, and History, Undo and Run New Simulation actions. The two devices are designed to stay in sync, so a quick check on the wrist and a deeper adjustment on the phone feel like one experience.




Numbers alone do not tell a gardener what to do. I designed the AI-powered guidance to point out problems and act on them, for example a low-light warning that suggests moving the plant, and alerts about potential weather changes that could affect growth.
I produced a concept video for BloomSim and submitted the project to the AAF Awards (student division). It is a project I took well beyond its original course requirements.






