GitHub / AWS-Big-Data-Projects / front-line-concussion-monitoring-system-using-AWS-IoT-and-serverless-data-lakes
A simple, practical, and affordable system for measuring head trauma within the sports environment, subject to the absence of trained medical personnel made using Amazon Kinesis Data Streams, Kinesis Data Analytics, Kinesis Data Firehose, and AWS Lambda
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AWS-Big-Data-Projects%2Ffront-line-concussion-monitoring-system-using-AWS-IoT-and-serverless-data-lakes
PURL: pkg:github/AWS-Big-Data-Projects/front-line-concussion-monitoring-system-using-AWS-IoT-and-serverless-data-lakes
Stars: 12
Forks: 0
Open issues: 3
License: apache-2.0
Language: Shell
Size: 30.3 KB
Dependencies parsed at: Pending
Created at: almost 5 years ago
Updated at: 9 months ago
Pushed at: almost 5 years ago
Last synced at: 5 days ago
Topics: aws-athena, aws-dynamodb, aws-glue, aws-greengrass, aws-iot, aws-kinesis-analytics, aws-kinesis-firehose, aws-kinesis-stream, aws-lambda, aws-quicksight, aws-s3
Funding Links https://github.com/sponsors/AWS-Big-Data-Projects