NURO is in the need of a new automated data pipeline from one of its Android apps into a Cloud-based data storage for AI Machine Learning.

The project needs to deliver an architecture able to record data from live sensors and bring recordings into a cloud-based repository with minimal interaction from the app user.

Proper recording of separate data streams will need to be achieved with adequate date and time stamps and categorization for each recording session. The data will then need to be prepared for a seamless file transfer into an authorized cloud repository once the user has completed a short survey prior to export. Once the data is transferred into the cloud, it will need to be architected in such a way that it can be placed into an AI Machine Learning methodology for further processing.

The project is of high priority for NURO and needs to be delivered as soon as possible as a functional architecture into its current processes. All work will be supervised by the Founder and CEO as well as the CTO of NURO. Access to all necessary technologies and technical guidance will be provided by NURO.