SmartBrain backend

You can find the frontend repo of this application here

Tecnologies

• Node.js
• Postgres
• Redis
• Knex
• Docker
• AWS

Overview

This application is the banckend of an application that handles user authentication and detect faces in an image that the user can upload.

Every user has a profile that can be updated. The user image is stored in a bucket in AWS S3 and the link to that image is stored in a postgres database along with all the user information.

All the queries in the database are made using Knex.

The application also has the record of how many images the user have uploaded in the face detector, this number is sent to an AWS Lambda function to return an emoji to the user. You can check the code used to set up the bucket in AWS S3 using serverless here.

And the code to make the simple lambda function returning an emoji to the user here. I'm making use of Redis in this app to cache the JWT token of the user.

The application is making use of docker compose to set up 3 different containers (Postgres, redis and node) and connect them.

The containers are being hosted by an instance of AWS EC2 and the frontend of this app is making use of this deployed container to access the backend. And finally

If you want to run this in a container, make sure you have docker installed and running in your computer

Clone the repo and in the root folder you can run:

docker-compose up --build

After that the application will be running on localhost:3000.

You can also run it locally, but make sure to configure your postgres and redis with the Node application

And then just run

npm install and

npm start