The system is implemented with various Amazon Web Service, supports recommendation, ordering and intelligent review
CDK version 1.87.1
Prepare images and data for book search application
Curso Udemy usando AWS Rekognition para análise de imagens e vídeos
A simple game of Arithmetics with a countdown timer, and is answered using Facial Expressions. Stack: Java Spring Boot, AWS DynamoDB, AWS S3, AWS Rekognition, AWS SQS, ReactJS, Redux, PusherJS 🐋🦐🔥
Employee login system using facial recognition
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.
Our project Credid ID, a Double Winner at our first 48 hour hackathon!
Here I have designed the system of Smart KYC where you will be able to extract the data from the AADHAR-CARD like your Name, Date of Birth, Gender, Aadhar- number and Mobile number(if provided) and Address
Face detection using AWS Recognition
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.
Simple API built with Java and AWS Rekognition for identifying if 2 faces are similar to each other
Records facial image data in embedded system and uses AWS Rekognition to perform processing
AEM Assets (DAM) AWS Rekognition integration for object and scene analysis, facial identification, text data extraction and meta data collection.
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.
An android app allowing users to log their assets and recommend micro insurance policies based on value, using image recognition and machine learning. This project was created at HackThe6ix 2019, by Bob Bao, Hao Cong Su, Michael Dai, and Jarrod Servilla. Credits to Bob Bao for the detailed README, including the demo. The backend can be found here:
Use AWS Rekognition to train custom models that you own.
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