Inspirat## 💡 Inspiration
The global beauty and personal style ecosystem is a trillion-dollar consumer industry, yet individuals constantly struggle to find coordinated, hyper-personalized looks that fit their specific physical parameters, personal budgets, or distinct cultural contexts. Standard filters fail to provide accurate shade match intelligence or comprehensive outfit harmonization (clothing + hair + makeup + jewelry). We built Aurelia AI Studio to solve this by providing an all-in-one virtual beauty specialist ecosystem that seamlessly optimizes user confidence and style DNA.
🚀 What it does
Aurelia AI Studio operates as an autonomous personal styling suite divided into 6 distinct, highly responsive AI Workstations:
- Makeup Artist: Deep shade profiling and natural/bridal/luxury look recommendations.
- AI Hairstylist: Face-shape aware structural cuts, configurations, and hair-color forecasting.
- Fashion Stylist: End-to-end outfit matching across diverse themes (Casual, Office, Luxury, Party).
- Jewellery Expert: Seamless alignment of necklaces, earrings, and accessories with specific necklines.
- Colour Specialist: Programmatic curation of personalized, high-contrast user color palettes.
- Occasion Stylist: Custom 5-day holiday planning and instant event-ready look curation (e.g., "Paris Trip" or "Wedding Night").
The app features a dynamic multi-tier subscription layout powered by integrated mock RevenueCat Paywall transactions that handle user retention and commercial monetization flows flawlessly.
🛠️ How we built it
The application was engineered entirely as a high-performance cross-platform prototype using Flutter and Dart. We focused heavily on achieving smooth, low-latency glassmorphism aesthetics under standard Google Material Design 3 conditions. To satisfy the core commercial rules of the competition, we programmatically mapped a robust local RevenueCat transactional layer that mimics real-world storefront upgrades, triggering interactive sandbox confirmations instantly upon package activation.
🏆 Next Gen Award (Student Category Alignment)
As an active student developer, this project was developed independently without paid commercial developer accounts. By submitting our clean, modular source code and a fully recorded interactive mobile demo, we demonstrate how high-level programmatic architectures and intuitive monetization frameworks can be engineered using accessible cloud tools. ion
What it does
How we built it
Challenges we ran into
Accomplishments that we're proud of
What we learned
What's next for Aurelia AI Studio
Built With
- dart
- flutter
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