Personalized Outfit Recommendation Mobile Application
| Vol-3 | Issue-12 | December 2018 | Published Online: 10 December 2018 PDF ( 260 KB ) | ||
| Author(s) | ||
| Aravind Renjan 1; Bhumika Kaushik 2; Vaishnavi Gaikwad 3; Yash Pathak 4; Prof. Bailappa Bhovi 5; Prof. Prashant Gadakh 6 | ||
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1Student, Department of Computer Engineering, International Institute of Information Technology, Pune (India) 2Student, Department of Computer Engineering, International Institute of Information Technology, Pune (India) 3Student, Department of Computer Engineering, International Institute of Information Technology, Pune (India) 4Student, Department of Computer Engineering, International Institute of Information Technology, Pune (India) 5Professor, Department of Computer Engineering, International Institute of Information Technology, Pune (India) 6Professor, Department of Computer Engineering, International Institute of Information Technology, Pune (India) |
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| Abstract | ||
Organizing and managing a wardrobe is a tedious and time-consuming affair on a daily basis, so is keeping up with the current trends in fashion and finding the perfect outfit that suits the occasion. This mobile application envisions automating the entire process of choosing an outfit according to the weather and occasion with as minimal effort from the user as possible. The application uses Apriori algorithm to find the association rules of clothing items that can be worn together based on certain properties like fabric, color, texture, pattern, etc. These rules will be used to model a recommendation system. The properties are recognized via QR code which will be attached to the label of the clothing item generated by the vendor from the application website. The application would primarily create a virtual closet for the user and also suggest outfits according to the user preference, weather and occasion. |
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| Keywords | ||
| Machine Learning, Apriori algorithm, QR Code Technology, Association Rules, Data Mining | ||
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