Skip to content

Using python and Helium API I am analyzing data from various Helium hotspots. Using AWS I create a database and a dashboard for users

Notifications You must be signed in to change notification settings

exposedtalent/Helium-Analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Helium Dashboard

Created a dashbaord using AWS services stated below. The dashboard showed the users the earnings and allowed users to track health of Helium hotspots. Designed and built a deep analysis engine to analyze activity and predict rewards for hotspots. Used AWS DynamoDB for storage, python-based lambda and API Gateway for backend, JavaScript for frontend, and AWS Cognito for user authentication and role-based access control.

AWS services used :

  • Lambda (Created the back and front end)
  • Cognito (User authentication)
  • Dynamodb (Database)
  • API Gateway (Created an REST API connected with the database)
  • CloudWatch (Scheduled events)

About

Using python and Helium API I am analyzing data from various Helium hotspots. Using AWS I create a database and a dashboard for users

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published