Inspiration
People spend several minutes every day deciding what to wear, even with a full wardrobe. We wanted to solve this problem by creating Trajo, an AI-powered personal stylist that recommends outfits using only the clothes users actually own.
What it does
Trajo helps users digitize their wardrobe by taking photos of their clothes. AI automatically removes the background, categorizes each item, and builds a smart digital closet.
Using weather, occasion, and user preferences, Trajo generates complete outfits using only the clothing items registered by the user—it never invents clothes or uses internet images.
The app also includes:
- AI stylist (text and voice)
- Weekly outfit planner
- Smart packing for trips
- Premium subscription with unlimited outfit generation and AI conversations
How we built it
Trajo was built using modern mobile and AI technologies:
- React Native + Expo
- TypeScript
- Firebase Authentication
- Cloud Firestore
- Google Gemini AI
- AI background removal
- RevenueCat
- Expo Router
- Styled Components
Challenges we ran into
One of the biggest challenges was ensuring the AI generated realistic outfits using only the clothes available in the user's wardrobe.
We also worked on making clothing recognition reliable across different lighting conditions while integrating weather information and AI recommendations into a smooth mobile experience.
Accomplishments that we're proud of
- Built a complete AI wardrobe assistant
- AI generates outfits using only real wardrobe items
- Automatic clothing organization
- Personalized outfit recommendations
- Voice-enabled AI stylist
- Premium subscription system
- Modern and intuitive mobile experience
What we learned
We learned how to combine generative AI with a real-world mobile application while keeping recommendations reliable, personalized, and practical.
We also gained valuable experience integrating AI, cloud services, subscriptions, and mobile technologies into a single product.
What's next for Trajo
Our roadmap includes:
- AI virtual try-on
- Smarter wardrobe analytics
- Outfit sharing with friends
- Shopping recommendations for missing wardrobe essentials
- Fashion trend insights
- Apple Watch and Wear OS support
- Calendar integration
- Official launch on the App Store and Google Play
