documentation comming soon !
Python, Flask, Postgres-database, jQuery, and Bootstrap were used to create an E-Commerce Web App. The app provides a large number of jerseys to choose from, each with an image, a description, a price, and a simple form to add the item to your cart. The information about the shirt is kept in a Postgres database and shown with Bootstrap's card class. The application includes a set of filters that use Postgres queries to show just shirts that meet specific criteria, such as shirts by area, clubs vs. national teams, shirts on sale, IPL, and so on. If a user is not logged in and tries to add something to their shopping cart, a warning message (implemented with jQuery) will appear, requesting that they log in. The user can add shirts to their purchasing cart once they have registered and logged in. At the top right of the screen is a link to the shopping cart, which displays the number of products in the cart as well as the sub-total in rupees. The shopping cart link launches a Bootstrap modal window with further information about the shopping cart. You can click the Buy button to go to the full version of the shopping cart and make changes, such as adding one more item or removing a shirt. Because the payment method has not yet been deployed, the cart gets reset once you check out. Simply click the Purchased button to view your buy history, which will show you all of the shirts you've ever purchased. You'll also see a Buy Again option, which will take you to the product page if you wish to purchase it again. The project is complete and ready for production use, having been developed from the ground up and deployed on the Heroku cloud platform.
documentation comming soon !
Python, Flask, Postgres-database, jQuery, and Bootstrap were used to create an E-Commerce Web App. The app provides a large number of jerseys to choose from, each with an image, a description, a price, and a simple form to add the item to your cart. The information about the shirt is kept in a Postgres database and shown with Bootstrap's card class. The application includes a set of filters that use Postgres queries to show just shirts that meet specific criteria, such as shirts by area, clubs vs. national teams, shirts on sale, IPL, and so on. If a user is not logged in and tries to add something to their shopping cart, a warning message (implemented with jQuery) will appear, requesting that they log in. The user can add shirts to their purchasing cart once they have registered and logged in. At the top right of the screen is a link to the shopping cart, which displays the number of products in the cart as well as the sub-total in rupees. The shopping cart link launches a Bootstrap modal window with further information about the shopping cart. You can click the Buy button to go to the full version of the shopping cart and make changes, such as adding one more item or removing a shirt. Because the payment method has not yet been deployed, the cart gets reset once you check out. Simply click the Purchased button to view your buy history, which will show you all of the shirts you've ever purchased. You'll also see a Buy Again option, which will take you to the product page if you wish to purchase it again. The project is complete and ready for production use, having been developed from the ground up and deployed on the Heroku cloud platform.
https://snapcartt.herokuapp.com/