EnviroFit

Our team was inspired by the common struggle of deciding what to wear each day. We realized that people often wear the same outfits repeatedly, despite owning a variety of clothes. This leads not only to a lack of outfit rotation but also to the purchase of new clothes, increasing waste and clutter. We wanted to solve this problem by creating an application that leverages the clothes people already own, automatically adds new items purchased online, and considers factors like weather and personal color preferences. Our goal is to help users save time, reduce clothing waste, and feel more confident by presenting thoughtful outfit choices that fit their style.

Throughout the process, we learned about the complexities of integrating different data points—like weather patterns, user style preferences, and online purchase APIs—into a seamless user experience. We built the app using Python and a variety of APIs for weather data, clothing inventory management, and machine learning to suggest new outfit combinations.

One of the biggest challenges was balancing simplicity with personalization. We had to ensure the app remained user-friendly while still providing a high level of customization for users’ clothing preferences and styles. Another hurdle was making sure the app could automatically detect and categorize new clothing items purchased online without requiring users to manually input data.

Despite these challenges, we’ve created a tool that not only reduces clothing waste by maximizing the use of existing wardrobes but also improves people’s mental health by taking one less decision off their plate each morning.

What’s exciting is that this project doesn’t stop here. Based on user feedback and market validation, we plan to turn this concept into a startup. By tackling waste reduction in fashion and boosting people’s confidence through curated appearances, we see potential in scaling this idea into a product that could change the way people get fit.

Built With

• adobe-express
• cloudinary
• firebase
• firebse
• github
• godaddy
• javascript
• node.js
• penpot