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System to efficiently process image data from CSV files , Its used complex Services like Sharp , AWS S3 and other LLD concepts

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HarshSharma0801/PixelPulse

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PixelPulse

System to efficiently process image data from CSV files , Its used complex Services like Sharp , AWS S3 and other services . Its written in node+typescript with type security

API Documentation

click here

Backend Link

live here

Low Level Design

Screenshot (326)

Screenshots

Screenshot (325)

Screenshot (324)

Screenshot (323)

Screenshot (322)

Screenshot (321)

Key Features

1. Processing of csv files and images

2. Saving processed data

3. Processing images quality and saving it

4. Create a team: Users should be able to create a team by selecting users from the list

Installation

Use the package manager [npm](https://www.npmjs.com/ to install Pixel Pulse.

For installing

npm install

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

Mongo_ConnectionString

PORT

S3_BUCKET_NAME

S3_BUCKET_REGION

ACCESS_KEY for aws user

SECRET_KEY for aws user

Run Locally

Clone the project

  git clone https://github.com/HarshSharma0801/PixelPulse.git

Install dependencies

  npm install

Start locally

  npm start

would like to change.

Please make sure to update tests as appropriate.

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System to efficiently process image data from CSV files , Its used complex Services like Sharp , AWS S3 and other LLD concepts

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