Abstract:

The Smart Wardrobe project, developed as part of an MSc in Computing (Advanced Software Development | Data Science), provided students with an extensive learning experience encompassing software engineering, artificial intelligence (AI), machine learning (ML), data science, user-centered design, and project management. The project aimed to revolutionize e-commerce fashion shopping by incorporating virtual try-on (VTO), AI-powered recommendations, natural language search, and collaborative chat. This abstract explores the key competencies students gained, demonstrating how interdisciplinary projects contribute to practical learning and career readiness in computing education.

The MSc students developed hands-on experience in full-stack development by designing and implementing a web-based e-commerce platform with AI-driven personalization. Key technologies learned include: Frontend Development (React.js, Redux, and Material UI), Backend Development (Node.js and NestJS), and Database Management (PostgreSQL and PGVector). Through these tasks, students enhanced their skills in data modeling, database optimization, and API development, preparing them for industry roles in software engineering.

Students explored the ethical implications of using AI in fashion e-commerce, particularly looking at bias in AI, they analyzed how dataset bias could lead to underrepresentation of diverse body types and fashion styles. They also looked at how recommendation engines influence consumer choices and proposed ways to increase algorithmic transparency.

Smart Wardrobe exemplifies how academic projects can translate into industry innovations. Students gained:
- Interdisciplinary Skills: Combining AI, software engineering, and UX design.
- Entrepreneurial Mindset: Understanding market needs, business viability, and scalability.
- Industry-Standard Tools: Working with real-world tech stacks used by companies like Amazon, Zalando, and ASOS.

By the end of the project, students were job-ready, equipped with technical expertise, project management experience, and industry awareness.

This project demonstrates how real-world problem-solving enhances computing education, preparing students to innovate in AI-powered e-commerce and beyond. Future iterations of Smart Wardrobe could integrate 3D body scanning for hyper-personalized fashion recommendations, showcasing how AI continues to shape digital shopping experiences.

Keywords:

e-learning, Smart Fashion, Teamwork.