GitHub - vaibhavthapliyalx/Activity-Recognition-using-Arduino-Nano-33-IoT: This project collects sensor data (accelerometer and gyroscope) from various activities using an Arduino Nano 33 IoT and classifies them with machine learning.

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This project collects sensor data (accelerometer and gyroscope) from various activities using an Arduino Nano 33 IoT and classifies them with machine learning.

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Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
Clapping_test.csv		Clapping_test.csv
Clapping_train.csv		Clapping_train.csv
Drinking_test.csv		Drinking_test.csv
Drinking_train.csv		Drinking_train.csv
Eating_test.csv		Eating_test.csv
Eating_train.csv		Eating_train.csv
Notebook.ipynb		Notebook.ipynb
Pouring_test.csv		Pouring_test.csv
Pouring_train.csv		Pouring_train.csv
Sitting_test.csv		Sitting_test.csv
Sitting_train.csv		Sitting_train.csv
Walking_test.csv		Walking_test.csv
Walking_train.csv		Walking_train.csv
paho_client.py		paho_client.py
sensor_publisher.ino		sensor_publisher.ino

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This project collects sensor data (accelerometer and gyroscope) from various activities using an Arduino Nano 33 IoT and classifies them with machine learning.

mqtt arduino machine-learning data-preprocessing svm-model paho-mqtt jupiter-notebook

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