Capsulator is a web app that aims to help its users making better shopping decisions, enrich their wardrobes and explore new styles by suggesting a capsule wardrobe based on their preferences.👗
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🗂️ folder 📁 file 📊 sheet 🔗 link
1️⃣: I created a database from scratch on excel 📁 clothes.xlsx
📊 "Database": I described 130 outfits from 4 different styles (Minimalist, Athleisure, Streetwear, Business casual) creating a table where each row corresponds to a specific outfit and the columns a distinct clothing item. When one of the items were presented on the outfit, I would attribute it a 1 and 0 otherwise. Additonaly, I added a image link for ach item.
📊 "Mapping": Also, because I needed to give them categories to help distinct between Tops, Bottoms, Coats and so on, I created a categorization table.
📊 "Voting Pictures": Because I needed to present pictures of outfits to the web users to access their preferences, I also described other 26 new outfits following the same logic.
📊 "voting_pictures", "dummy_table" and "image_table": Simplied the original tables to have no images and formatting, to be used on python.
2️⃣: Developed the product based recommendation engine 📁 Recommendation engine .ipynb
3️⃣: Created Capsulator on a Jupyter Notebook before jumping to Flask 📁 Trial.ipynb
4️⃣: Created the website using Flask, HTML and CSS 🗂️ Flask - Capsulator
5️⃣: Made the graphic design and prepared the presentation 🔗 https://www.canva.com/design/DAFdX_OalWQ/vv6nz4AVhdHhWkprJ550hQ/view?utm_content=DAFdX_OalWQ&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink