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Flipkart SmartBag

About the project   |    Technologies   |    Getting started   |    How to contribute   |    License

💻 About the project

  • Basically it is a ML-based Smartbag which uses machine learning algorithm to recommend user the items based on various factors like his previous purchases, other people similar purchases, the time of purchase, similarity index between the products using the Associative learning. The Apriori Algorithm is used to provide him with the desired results. This project was made as a part of hackathon "Flipkart Grid 3.0".

    OR

  • You can share your amazing ideas here.

  • This project also has implementation of Google auth.

🚀 Technologies

  • Reactjs
  • Express
  • Node
  • MongoDb
  • CSS
  • HTML

💻 Getting started

-Just clone the project start the server and enjoy -Quick Demo at https://rocky-coast-52940.herokuapp.com/

Requirements

  • Null

Clone the project and access the folder

$ git clone https://github.com/Snehil-Mittal/Flipkart-SmartBag.git
$ cd Flipkart-SmartBag

Follow the steps below

npm i
npm start

🤔 How to contribute

Make a fork of this repository

# Fork using GitHub official command line
# If you don't have the GitHub CLI, use the web site to do that.

$ gh repo fork EliasGcf/NOME_DO_REPO

Follow the steps below

# Clone your fork
$ git clone your-fork-url && cd NOME_DO_REPO

# Create a branch with your feature
$ git checkout -b my-feature

# Make the commit with your changes
$ git commit -m 'feat: My new feature'

# Send the code to your remote branch
$ git push origin my-feature

After your pull request is merged, you can delete your branch