The system is implemented with various Amazon Web Service, supports recommendation, ordering and intelligent review
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Updated
Sep 6, 2018 - JavaScript
The system is implemented with various Amazon Web Service, supports recommendation, ordering and intelligent review
AWS Lex, ElasticSearch, Rekognition and CloudFormation
CDK version 1.87.1
Prepare images and data for book search application
Curso Udemy usando AWS Rekognition para análise de imagens e vídeos
The AWS Rekognition function allows you to analyze your images within a few minutes.
To demonstrate an understanding of cloud applications and software development on AWS cloud platform. The tasks are to design and implement an application to analyze an image to detect Personal Protective Equipment (PPE) using AWS AI Services; AWS Rekognition.
A simple Node.js application to analyze faces within an image using AWS Rekognition.
Intellicrop is a AWS Serverless solution using managed AI/ML and facial recognition to intelligently crop images.
Simple API built with Java and AWS Rekognition for identifying if 2 faces are similar to each other
Application for management of food wastage and statistical analysis to predict food wastage
Image Analysis with AWS Rekognition
A Photo Search Gallery that utilizes AI for speech-to-text transcription and object detection for tagging objects within the images.
The aim of the workshop is to showcase how a Lambda function can consume messages from an SQS Queue, make a call to AWS Rekognition with the details from the SQS Queue message, retrieve the response, manipulate it and store the key data in a DynamoDB table, and finally send an SMS via AWS SNS.
This project is proof of concept web application that is compatible in all devices, used to upload local images stored in a pc or smartphone, and once uplaoded its hits the aws rekognition service for image classification and then calorie calculation.
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