For this project, I designed a clean and user-friendly mobile and smartwatch app interface for BloomSim, a digital twin gardening tool that predicts flower growth, customizes conditions, and optimizes plant health with real-time environmental data.
BloomSim qualifies as a digital twin project because it creates a virtual model of real-world garden conditions to predict flower growth outcomes. By leveraging real-time environmental data such as temperature, humidity, and weather patterns, BloomSim simulates how flowers will behave in different scenarios.
In essence, BloomSim mirrors the conditions of a physical garden in a digital environment, allowing users to experiment with variables and make informed decisions without physically altering their garden. This predictive simulation aligns with the core concept of a digital twin, which replicates real-world elements in a virtual space to enhance planning, monitoring, and outcomes.
By combining the power of simulation with intuitive design, BloomSim empowers both novice and experienced gardeners to make smarter, data-informed decisions. The seamless integration across mobile and smartwatch platforms ensures that users can monitor, plan, and refine their gardening strategies anytime, anywhere—bringing the future of floriculture to their fingertips.
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