This post is my submission for DEV Education Track: Build Apps with Google AI Studio.
What I Built
I built ClosetAI, a smart wardrobe and outfit planner app that helps users digitize their clothing, track wear history, and get AI-powered outfit recommendations based on weather, calendar events, and mood.
Key prompts included:
"Create an app that digitizes a user's wardrobe using photos and classifies clothing items."
"Generate daily outfit suggestions using AI based on weather and user calendar."
I also integrated features like wear tracking, sustainability reminders, and weather API integration.
Demo
My Experience
Working on this project taught me a lot about combining computer vision with AI-driven personalization on mobile platforms. I learned how to use image classification models (TensorFlow Lite) on-device for fast processing and how to integrate weather and calendar APIs for contextual suggestions. It was surprising how well AI can assist in everyday decision-making like picking an outfit, and the importance of designing simple but effective UI for non-technical users.
This project gave me insights into balancing AI capabilities with privacy and performance on mobile devices.
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