The “Next-Gen tinyML Smart Weather Station 2024” competition is a challenge aimed at inspiring and promoting the development of innovative, energy-efficient, and cost-effective smart weather stations using Tiny Machine Learning (tinyML) technology. Participants from diverse backgrounds are invited to design, build, and deploy weather stations that can accurately measure and report real-time environmental data (rain and wind), as well as temperature, humidity, pressure, and/or air quality. The competition encourages the use of low-power, low-cost hardware, and software solutions that are capable of processing data locally and can operate autonomously for extended periods. The competition is expected to foster collaboration, creativity, and practical solutions that can contribute to improving weather monitoring thereby enhancing community resilience and adaptation to climate change.


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