Skin Tone Based Clothing Recommendation System Final Year Project Source Code

Skin Tone Based Clothing Recommendation System is a complete MERN Stack fashion e-commerce and personalized clothing recommendation application that recommends clothing colours according to a customer’s skin tone category and undertone.

The recommendation engine uses transparent rule-based colour matching stored in MongoDB. It does not depend on a third-party recommendation API, external machine-learning service, or cloud AI model. Customers can manually select their skin tone and undertone or optionally upload a photo for local RGB/HSV-based colour sampling using Sharp.

After a skin profile is created, the platform evaluates product colours and displays recommendation levels such as:

• Best Match

• Good Match

• Regular Match

The system also includes outfit pairing suggestions based on administrator-defined upper- and lower-clothing colour rules. Alongside recommendations, SmartWear operates as a complete fashion e-commerce system with brands, categories, products, size and colour variants, inventory, wishlist, shopping bag, delivery addresses, COD checkout, order tracking, product reviews, homepage content, reporting, and a dedicated Admin Console.

This project is suitable for B.Tech, M.Tech, BCA, MCA, BE, ME, BSc, MSc, Computer Science, IT, Web Development, E-Commerce, and MERN Stack students searching for a final year project, major project, minor project, source code, and project report based on personalized fashion recommendations, skin-tone analysis, clothing colour matching, fashion e-commerce, and online shopping.