This is an IOT project built to help monitor the disease progression of patients with Parkinson's Disease.
A demo of our product can be viewed from this link

It is developed by a team of 4 NUS students, who contributed in the following manners:
Celestine - Searching of datasets and related studies, training of AI models
Gabriel - Training of AI models, improving accuracy across models
Khang Hou - Building of web application, setting up internal backend server, training of AI models, overall integration
Joy - Arduino code for collection and sending of data (embedded systems), setting up Azure IoTHub, 3D modelling and printing of device holder

npm run dev

npm run start:dev

python3 server.py

Simply start the main server. The IoT devices should start sending data once connected to Wi-FI

Classifications are only shown after 60 seconds due to the requirement of having at least 60 seconds of past data before making classifications

Data collected must be for the same activity type.