Currently, the health sector requires continuous supervision within its monitoring systems, and the broad types of sensors can raise some difficulties in working with the data. Thus, creating a testing platform that enables the user to test different sensors, datatypes and AI analyses are essential to improve the health system.
To develop this project, we followed rapid prototyping techniques within the agile strategy. So that we could achieve a final product that better satisfies our client.
Within the requirement to build a concurrent microservices architecture within the testing platform, we used the node-red framework to create our backend and frontend, so our client could modify the system with little coding skills.
MongoDB was the technology chosen to store the data in a more versatile way through its NoSQL features.
Unity3D was used to create the 3D interactive testing platform.
And RabbitMQ was used to manage the transference of the data.
The project was successfully completed, and the client was satisfied with it. We achieved a testing platform with capabilities of concurrent data transfer and a flexible system that enables the user to analyse the data via graphs and with the use of AI services.