This project uses historical weather data of a specific location (Lo Barnechea, Chile) to train a model to predict its future temperature. The trained LSTM (Long Short-Term Memory) model will be converted with TensorFlow Lite- Micro to be deployed on a microcontroller. The prediction will be tested using an XIAO ESP32S3.
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This project uses historical weather data of a specific location (Lo Barnechea, Chile) to train a model to predict its future temperature. The trained LSTM (Long Short-Term Memory) model will be converted with TensorFlow Lite- Micro to be deployed on a microcontroller. The prediction will be tested using an XIAO ESP32S3.
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Mjrovai/Tiny-LSTM-Weather-Station
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This project uses historical weather data of a specific location (Lo Barnechea, Chile) to train a model to predict its future temperature. The trained LSTM (Long Short-Term Memory) model will be converted with TensorFlow Lite- Micro to be deployed on a microcontroller. The prediction will be tested using an XIAO ESP32S3.
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