Penrose Care Application Programming Interface is an implementation of the FHIR specification in java. It allows the exchange of data in a modern and developer friendly way :)
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Data Upload: Manually upload csv files to s3 bitbucket #2
Penrose Care collects relevant information about a given entity from multiple sources and provides useful insights based on that data. The information is processed using various machine learning algorithms and deep learning models generated by Marxvim’s Oracle Architecture and Services (OAS). These insights can be useful when setting up triggers for various possible actions that Keras -- Penrose Care’s host AI bot -- can perform on behalf of the member.
We need to store samples of these training data for Keras in marxvim's database
Acceptance Criteria:
[ ] collect the following information from sources online:
1. Voice samples from phone microphones
2. Images of faces/ iris/ fecal matter/ urine from phone camera
3. Heat from thermometer
4. EKG/ECG from smart watch
5. Location from GPS
[ ] Store the data in csv files
[ ] Upload each file to the PCOAS AWS SageMaker s3 bucket
Penrose Care collects relevant information about a given entity from multiple sources and provides useful insights based on that data. The information is processed using various machine learning algorithms and deep learning models generated by Marxvim’s Oracle Architecture and Services (OAS). These insights can be useful when setting up triggers for various possible actions that Keras -- Penrose Care’s host AI bot -- can perform on behalf of the member.
We need to store samples of these training data for Keras in marxvim's database
Acceptance Criteria:
[ ] collect the following information from sources online:
[ ] Store the data in csv files
[ ] Upload each file to the PCOAS AWS SageMaker s3 bucket