project-proposal-2024

👗 StyleSeeker 👗

Abstract

In an era where fashion finds are often closely guarded secrets, StyleSeeker emerges as a game-changing round-the-clock platform, highlighted through its availability attribute. By leveraging image recognition and machine learning technologies, StyleSeeker empowers users to reverse image search any outfit with just a screen-shot. Beyond mere identification, it bridges the gap between seeing and shopping by providing URLs to purchase the exact item or explore similar options. This platform redefines the way we discover and buy fashion online, ensuring that the latest trends and hidden gems are accessible to everyone, anytime. Strengthened by scalability, it effortlessly accommodates a growing user base and an expanding database of fashion items. Moreover, its maintainability facilitates quick updates and adaptability to the fast-paced world of fashion, thereby securing its position as an indispensable tool for fashion enthusiasts worldwide.

Author

Name: Bailey Stoodley

Student number: 46387875

Functionality

StyleSeeker offers a wide range of features that cater to every fashionista’s needs:

Scope

Whilst this functionality provides additional optional capabilities that enhance the user’s experience these do not capture the requirements for a Minimal Viable Product. The functionality for the Minimal Viable Product for this system include:

Quality Attributes

Based on both the MVP and the idea of the software these would be the most applicable quality attributes.

Measuring Criteria

Evaluation

From identifying the quality attributes and how they may be measured in general, this can be applied to this specific project to determine if this project has achieved these attributes.