We aimed in our project to utilize some of these useful technologies such as IoT, cloud computing, and machine learning.
Our objective was to develop a tracking system capable of detecting anomalies within its traffic patterns.
Here some of the details that have been accomplished until now:

IoT

We accomplished to conncet a LOW cost device (ESP32) to the cloud (AWS) to establish it current position frequently.

Cloud

After we received the position we immidiatly store the data into AWS DynamoDB to countinue the processing on the received data.

Machine Learning

We apply a machine learning algorithm within the cloud to detect the abnormal behaveor based on the knowleged base that we have from the user.

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