Core Functionality
- Outfit Builder: Users upload photos of their wardrobe; the app suggests combinations based on color, season, and comfort.
- Style Tips & Reminders: Daily short videos or text tips tailored for senior fashion needs (e.g., easy closures, breathable fabrics) with push notifications to remind users about upcoming events.
- Virtual Closet Organizer: Simple drag‑and‑drop interface to log items, track wear frequency, and flag pieces that need replacement.
Problem It Solves
Many seniors struggle with choosing outfits that are both fashionable and practical, often forgetting when they should replace worn items or adapt their wardrobe for seasonal changes. The app provides personalized guidance, reduces decision fatigue, and helps maintain a fresh look without overwhelming complexity.
Technical Requirements
- Mobile Platform: React Native (cross‑platform, beginner friendly).
- Backend: Firebase Firestore for data storage, Authentication, and Cloud Functions for simple recommendation logic.
- Image Processing: TensorFlow Lite model pre‑trained on clothing attributes to detect color, type, and fabric from uploaded photos.
Monetization Strategy
- Freemium Model: Basic outfit suggestions are free; a premium subscription unlocks advanced analytics (e.g., wear frequency reports), exclusive video tutorials, and offline mode.
- Affiliate Partnerships: Partner with senior‑friendly clothing brands; earn commissions on purchases made through in‑app links.
Implementation Approach
- Week 1–2: Set up React Native project, integrate Firebase Authentication.
- Week 3–4: Build the virtual closet UI and basic CRUD operations for wardrobe items.
- Week 5–6: Integrate TensorFlow Lite model; test color/type detection on sample images.
- Week 7–8: Implement outfit suggestion algorithm (simple rule‑based matching).
- Week 9: Add push notification service for reminders and style tips.
- Week 10: Design premium features, set up subscription flow with Firebase Billing.
- Week 11–12: QA, user testing with senior volunteers, iterate based on feedback.
Potential Challenges
- Image Quality Variability: Seniors may take low‑resolution photos; solution: provide clear guidelines and optional photo enhancement filter.
- Accessibility: Ensure large fonts, high contrast UI, and voice navigation. Use React Native Accessibility APIs.
Future Expansion
- Integrate a community forum for seniors to share outfit ideas.
- Add a virtual fitting room using AR for trying on accessories.
- Expand AI model to suggest seasonal wardrobe swaps automatically.