Using Amazon Rekognition, this application categorizes photos uploaded by users and allows photos to be shared between account.
- University: San Jose State University
- Course: CMPE 172: Enterprise Software
Professor: Sanjay Garje
Students: Minh Phan, Evan Ugarte, Yanyan Yang, Roy Zhang
Project Introduction:
- Upload, Delete and Search for Photos
- Uses AWS Rekognition to automatically categorize photos when they are uploaded
- Users can retrieve photos based on autogenerated tags
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.
You need Node.js and Redux DevTools prior to installing.
- Install Node.js
- Install the latest Node version from the Node.js website for your proper OS.
- Install Redux Devtools
- Install the latest Redux DevTools from the Google Chrome extension store.
With Node and Redux DevTools installed, clone this repository with
git clone https://github.com/evanugarte/SmartPhotoCategorizer.git
- In Command Prompt:
- Go to file location in your machine:
cd SmartPhotoCategorizer
- Install all dependencies with
npm install && cd back-end && npm install
- To run the program:
- To first start the backend, enter the
back-end
folder and start the server with
cd back-end && npm start
- Then, in the
SmartPhotoCategorizer
folder, run
npm run start
- The application should open in the browser shortly after.
- Go to file location in your machine:
- S3 buckets to hold images and stage website
- DynamoDB tables to store user information and references to photo objects
- Route53 for domain name and routing
- ELB, ASG, and EC2 to host our server and direct traffic
- CloudFront for content delivery
- SNS and CloudWatch for notifications about our system
- Rekognition for label detection on images
- Cognito user pool for user authentication