AWS tutorial code.

This repository describes how to design and implement Natural Language Processing(NLP)-based service using AWS Serverless, Amazon Comprehend and AWS Cloud Development Kit(CDK)

Amazon re:Invent workshop - "Alexa, Ask Jarvis to Create a Serverless App for Me" -

🏆 An applicant tracking system (ATS) is a software application that enables the electronic handling of recruitment and hiring needs. Corporate recruiters or hiring managers can then search and sort through the resumes in a number of ways, depending on the needs

This repository is a collaborative work towards creating a serverless application called Learning Management System. This application follows multi-cloud deployment and will implement backend-as-a service architecture.

A tool that can mask words that match regular expression, keywords or PII (Personally Identifiable Information) in an image file.

Right call center quality assurance monitoring written in Python

Elasticsearch ingest processors using Amazon Comprehend for NLP analysis

A multi-platform, serverless chatbot skeleton with Chatbase and Dialogflow integration.

The web scraping code extracts detailed product information, forming the foundation for ML-based categorization. Two methods are implemented for assigning category tags to products based on their titles. Model 1: Advanced Custom Classification in AWS Comprehend. Model 2: Fine-tuned BERT Language Model.

KNIME® Cloud Connectors

This repo contains all the code required to do an IDP solution on AWS from document splitting, classification to extraction.

Picturesocial is a new content series that will include code samples, blogs, and videos. It’s based on a hypothetical social media network for sharing pictures. The main use case is that user can post pictures and the app will use AI to caption and tag them. Sentiment analysis is used to add "reactions" to pictures based on the comments. The con…

🎥 Elevate Your Content with ClipCrafter AI

A Raspberry Pi & Slack or Pipedream enabled tattle phone

Gain customer insights using Amazon Aurora machine learning

Streaming and real-time analysis of Twitter data through an AWS data stream

Amazon Comprehendのサンプルスクリプト

Global Aurora PostgreSQL Serverless V2 Database with Disaster Recovery and In-Database Machine Learning Capabilities