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Build a photogallery app with auto tagging using AWS Rekognition and Couchbase – Part 1

Blog post from Couchbase

Post Details
Company
Date Published
Author
Laura Czajkowski, Developer Community Manager, Couchbase
Word Count
1,312
Company Posts That Month
19
Language
English
Hacker News Points
-
Post removed?
No
Summary

Ratnopam Chakrabarti, a software developer at Ericsson Inc., explores a photo gallery application in this blog post, focusing on its technical implementation using various technologies like Couchbase, AWS SDK, and Node.js. The application allows users to upload images, which are then tagged using AWS Rekognition, and lets them view and like images uploaded by others. The tech stack incorporates Express for the front end, Couchbase for storing image metadata, and Amazon S3 for image storage. Chakrabarti details the installation and configuration of Couchbase, including creating a bucket and an index, and provides code snippets for saving and retrieving image metadata using the Couchbase database. This post serves as the initial part of a series aimed at instructing readers on the use of Couchbase in the application, highlighting the integration of various modules and dependencies to achieve the desired functionality.

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