EMZIO is an e-commerce platform runs under android, this application provides the experience of an e-commerece app in addition to a recommendation system make it easier to search and extract relevant information to help with decision-making. The best known recommendation algorithms are those used for e-commerce such as Amazon.com. These algorithms are based on various information about the user (history of items viewed, purchases made, preferences, etc.) to predict the user's interest and recommend items to them.
This project aimed to implement a mobile e-commerce application in Java Android. This application allows us to collect some information about users and recommend items to them based on a simple content-based recommendation algorithm which uses the user's product consultation history. This application was subsequently tested on several phones and with several users in order to facilitate its deployment in the future.
Login Page |
Home Page |
User profile Page |
Products category Page |
Filtering by brand |
Sorting |
Recommendation Page |
Search Page |
History Page |
Likes Page |
Prodcut Page |
Product Page |
Cart Page |
Order Confirmation Page |
Order Confirmation Page |