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IS480 Team wiki: 2012T1 Can.One Project Overview

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Project Description

Project Description

This project aims to build an e-commerce web application that allows users to create their personalized 3-D avatar from a 2-D photograph. This innovation creates a brand new shopping experience where users can try on and visualize various hairstyles and apparels before making a purchase.

The online shopping experience will be enhanced by the implementation of Metro design - a neatly designed layout with simplified gestures and transitions that will guide the users deeper into content. This web application will also implement analytic tool that will match users' facial features and preferences with the available products and creates suggestive recommendation to ease users in making decision. In addition, users will be able to interact with one another through the customized social network of this web application.


STAKEHOLDERS

Can.One Stakeholders.png


Motivation

Motivation

Current online shopping web sites do not allow users to have full visualization of themselves wearing the items they wish to buy. There is an emerging need for a web application that is able to minimize the gap between offline and online shopping experience. Additionally, by designing the layout based on the increasingly popular Metro design, the team hopes to reduce the complicated online shopping experience that is commonly found on most online shopping website.

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Project Scope

Project Scope
No. Main Feature Component Description
1 User Management Registration, Login, Profile Enhance users' register and login experience.

Manage users' personal details.

2 3D Visualization 2D pto 3D Avatar Implement A*Star technology which allows rendition of 2D photograph to 3D picture.
3 Shopping Catalog, Purchase, Promotions, Rewards Create an e-commerce application to ease users' shopping process.
4 Social Friends, Chat, Clubs, Groups Social network features which allow user to interact with one and another.
5 Recommendations User Data, Usage Analysis, Industry Trends Provide personalized recommendation for each user based on user input and advanced tracking.

Please refer to use case description for more details.

Deployment Architecture

Deployment Architecture

coming soon..

About Us

About Us

coming soon..