https://github.com/aimaster-dev/image-recognition-service

Image Recognition as a Service is a scalable #AWS-powered web app that exposes a deep learning model via REST API, using EC2 auto-scaling and load balancing to handle image input and return predictions efficiently.
https://github.com/aimaster-dev/image-recognition-service

api-development auto-scaling aws aws-lambda aws-s3 cloud-computing computer-vision deep-learning ec2 elastic-search image-analysis image-recognition load-balancer python rest-api serverless

Last synced: 5 months ago
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Image Recognition as a Service is a scalable #AWS-powered web app that exposes a deep learning model via REST API, using EC2 auto-scaling and load balancing to handle image input and return predictions efficiently.

• Host: GitHub
• URL: https://github.com/aimaster-dev/image-recognition-service
• Owner: aimaster-dev
• License: mit
• Created: 2025-05-28T23:54:49.000Z (8 months ago)
• Default Branch: master
• Last Pushed: 2025-05-29T07:24:25.000Z (8 months ago)
• Last Synced: 2025-05-29T07:29:27.865Z (8 months ago)
• Topics: api-development, auto-scaling, aws, aws-lambda, aws-s3, cloud-computing, computer-vision, deep-learning, ec2, elastic-search, image-analysis, image-recognition, load-balancer, python, rest-api, serverless
• Language: JavaScript
• Homepage:
• Size: 1.67 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Image Recognition as a Service

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## Problem Description 📋

⚡️ The project aims at building an elastic web application that can automatically scale out and scale in on-demand and cost-effectively by using cloud resources. \

⚡️ The resources used were from Amazon Web Services. It is an image recognition application exposed as a Rest Service to the clients to access. \

⚡️ The application takes the images and returns the predicted output by the deep learning model by using the AWS resources for computation, transportation, and storage. So the tasks involved designing the architecture, implementing RESTful Web Services, a load balancer that scales in and scales out EC2 instances at App Tier according to the demand of the user.

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