exposedtalent / Helium-Analysis

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

Home Page:https://www.helium.com

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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

https://www.helium.com


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Language:Python 73.7%Language:JavaScript 17.1%Language:CSS 5.4%Language:HTML 3.8%