Build a serverless, pay-as-you-go, self-service appointment scheduling solution with Amazon Lex and Amazon Connect.

AWS Services: Amazon Lex, Amazon Connect, Amazon Pinpoint
Libraries: Boto3

Apache MXNet to build and train a model to classify images, and specifically take advantage of the Gluon API provided with MXNet to make that process really easy.

Libraries: MXNet, Gluon

TensorFlow 2 to build and train a model to classify images, and specifically take advantage of the Keras API provided with TensorFlow to make that process really easy.

Libraries: Tensorflow, Keras

The scikit-learn contains various classification, regression, and clustering algorithms, including __random forests__ which we use in this project.

Libraries: scikit-learn, seaborn

Amazon Deeplens and Amazon Rekognition service to detect emotions on a person's face. We can track them overtime to analyze the overall user emotion while watching a movie or during a conversation.

AWS Services: Amazon Deeplens and Amazon RekognitionLibraries: greengrasssdk, awscam, cv2, numpy, boto3

Bot is built for those employees (say warehouse field workers) who does not have internet access and line up to a paper based register, to log basic daily tasks. With this bot they can do it using SMS, Call, Ask Alexa as regular dialog conversation like you are asking your assistant or friend to do the task for you.

This post demonstrates how to use CodeGuru for automated code reviews and uses an AWS CodeCommit approval process to set up a code approval governance model.

(ML) solution to prioritize circuits based on the impacts of tree-related outages on the coming year’s SAIDI without using imagery data.

Mobility Explorer traffic monitoring platform

Healthcam

Comparing Drug Sentiments from paper prescriptions