What it does
How I built it
Previous training is done using the AWS S3 service where the training files are located in the format required by the AWS Comprehend service.
Challenges I ran into
Building a simple enough browser extension which could send an API call to the AWS service.
Accomplishments that I'm proud of
Integrating AWS services with a browser extension and leveraging powerful machine learning models.
What I learned
REST API, AWS Sage maker, AWS platform, Working with production-grade machine learning models.
Production grade deployment, refining of the extension code.