This repository details the development of the Smart Lift IoT sensor and mobile application, created as part of the Sensing and IoT course. The sensor and app allow a user to track their exercises within a gym environment, providing in depth metrics and progress tracking. The project is built upon cloud infrastructure, making it scalable to any number of users.
A video demonstrating the project can also be found at https://www.youtube.com/watch?v=I02ueaDGH5k&feature=youtu.be
Contains sample IMU data, the class written to handle the data, and a sample jupyter notebook that is representative of the cloud functions used
The app developed for the project
The code used on the arduino.(not that this is the code for the right sensor. Left sensor code is identical except for different peripheral names and UUIDs)
The written report, detailing the development of this project.