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 Image-based Recommender System allows users to search for products online by simply uploading an image of the desired object. The system leverages computer vision and image recognition techniques to identify the object in the uploaded image and recommends similar products based on the extracted features.
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
AEM Assets (DAM) AWS Rekognition integration for object and scene analysis, facial identification, text data extraction and meta data collection.
Object detection demo using React and AWS Rekognition
Intelligent image processing solution, including create photo thumbnail, photo detect labels, photo detect faces etc. Using AWS Rekognition service, and can build as a Lambda invoked by S3 Notification.
Telegram bot that uses the Amazon Lex & Amazon Rekognition service
☁️ A deep study about serverless applications on aws
AWS application using CDK to process images from s3 via Lambdas/Rekognition/EventBridge
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