MediWardrobe AR

Core Functionality

• AR Outfit Preview: Scan a live camera feed of the user’s body to overlay different scrub styles, sizes, and color options.
• Style & Fit Recommendations: AI suggests optimal fits based on user measurements and job role (e.g., ICU vs. ER).
• Inventory Sync: Connects to hospital supply lists so users can see which items are available in stock.
• Wardrobe Planner: Allows users to schedule outfits for the week, ensuring they have clean gear ready for shifts.

Problem It Solves

Healthcare workers often struggle with limited time to decide on comfortable and functional attire during shift changes. They may also face inventory mismatches or lack of style options that meet both safety and comfort needs. MediWardrobe streamlines outfit selection, reduces decision fatigue, and ensures staff are always prepared.

Technical Requirements

• ARKit / ARCore: For body tracking and overlaying garments in real time on iOS and Android devices.
• ML Kit or Core ML: To provide fit recommendations based on user measurements.
• RESTful API: Connects to hospital inventory databases (e.g., HL7 interfaces).
• SQLite / Room: Local storage for user wardrobe data and preferences.

Monetization Strategy

1. Freemium Model: Basic AR preview is free; premium features like advanced fit analytics, brand partnerships, and bulk ordering are subscription‑based.
2. Supplier Partnerships: Earn a commission on orders placed through the app’s integrated purchase portal.
3. Data Insights: Offer anonymized trend reports to hospitals for inventory optimization (with consent).

Implementation Approach

1. Phase 1 – MVP (Weeks 1‑4)

• Set up project scaffolding with Flutter/React Native for cross‑platform support.
• Integrate ARKit/ARCore body tracking and a simple garment overlay model.
• Implement local SQLite database for user wardrobe.

1. Phase 2 – Fit & Inventory (Weeks 5‑8)

• Add ML models for fit recommendation.
• Build REST API connectors to sample hospital inventory systems.

1. Phase 3 – Polish & Monetization (Weeks 9‑12)

• Design subscription flow and integrate Stripe/Apple Pay.
• Implement analytics dashboard for hospitals.

1. Launch & Feedback

• Release beta to a small group of healthcare workers, collect feedback, iterate.

Potential Challenges

• Accurate Body Tracking on Low‑End Devices: Some older phones may struggle with AR; solution—fallback to 2D overlay and offer device compatibility guidelines.
• Privacy & Data Security: Handling sensitive employee data requires HIPAA compliance; solution—encrypt all local storage, use secure API endpoints, and provide clear privacy policy.

Future Expansion

• Virtual Try‑On for Protective Gear: Add AR previews for PPE like masks and gowns.
• Social Sharing: Allow users to share outfit choices with peers for style inspiration.
• AI Chatbot Assistant: Provide instant wardrobe advice based on shift type or weather conditions.
• Integration with Hospital Scheduling Systems: Auto‑sync outfits with shift schedules for seamless planning.