Effective Weather Data Monitoring and Analytics Solution
Overview
The client is a global manufacturer of advanced electronic devices/components in the field of automation. They wanted to develop a solution that collects and stores their environment sensors’ data in real-time and analyzes correlation between separately collected data. ACL Digital architected a cloud-based machine learning solution, including web application using AWS managed services.
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Challenges
Absence of application to capture data from the sensors
Lack of cloud-based ML solution
Solutions
- Architected a cloud-based Machine Learning solution, including Web Application using AWS Managed Services
- Developed Server Sent Events (SSE) App for real-time data transmission from sensors. Implemented ML script to perform preprocessing on data based on “Change Content” operation like average, max & difference etc.
- Developed Web App to customize users’ settings & dashboard for retrieved environment sensors’ data using Amazon Cognito, Lambda & API gateway
- Cloud implementation & auto deployment using AWS Managed Services
- Developed script to calculate AWS pricing based on file size, processing time & storage
- Processed CSV files stored on S3 Bucket upon confirmation using AWS SageMaker
Outcomes
- Enabled client to know the exact data processing cost in advance by integrating AWS services calculator script with the web application to avoid unnecessary operations
- Helped up-sell client’s sensors with weather detection and prediction applications using AWS Managed Services
