Photo capture app for Mentra smart glasses with TEE attestation and Supabase storage.

EigenSnap/
├── mentra-app/          # Web app for Mentra glasses
│   ├── index.html       # Camera UI
│   ├── app.js          # Photo capture logic
│   └── config.js       # Configuration
├── backend/            # TEE backend (coming next)
│   └── (will add later)
└── README.md

• Camera access on Mentra glasses
• Photo capture with preview
• Local storage of photo metadata
• Recent photos list
• 50MB max photo size
• JPEG compression

• Simple Express server to receive photos
• Save photos to local filesystem
• Photo metadata tracking

• Cryptographic signing of photos
• Image hash generation
• Timestamp attestation
• TEE address verification

• Supabase storage bucket setup
• Photo upload to Supabase
• Metadata database
• Public photo gallery

Option A: Vercel

1. Push this repo to GitHub
2. Import to Vercel
3. Set root directory: mentra-app
4. Deploy
5. Copy deployment URL

Option B: Local Testing

1. Serve the mentra-app directory:

cd mentra-app
python3 -m http.server 8080

2. Access at http://localhost:8080

1. Go to https://console.mentraglass.com
2. Create/edit your app
3. Set Server URL to your deployment URL
4. Install app on glasses

1. Launch EigenSnap on glasses
2. Tap "Start Camera"
3. Tap "Take Photo"
4. Review preview
5. Tap "Upload Photo" (saves locally for now)

Current (Phase 1):

• 📸 Camera access with back camera
• 🖼️ Photo capture and preview
• 💾 Local storage of photos
• 📋 Recent photos list
• ✓ Photo metadata (size, format, timestamp)
• ↺ Retake functionality

Coming Soon:

• 🔐 TEE cryptographic attestation
• ☁️ Supabase cloud storage
• 🌐 Public photo gallery
• ✅ Photo verification
• 📊 Photo analytics

Edit mentra-app/config.js:

const APP_CONFIG = {
  appName: "EigenSnap",
  maxPhotoSize: 50 * 1024 * 1024,  // 50MB
  photoQuality: 0.92,               // JPEG quality
  camera: {
    facingMode: 'environment',      // Back camera
    idealWidth: 1920,
    idealHeight: 1080
  }
};

Mentra Glasses (Camera App)
    ↓
Capture Photo (JPEG, max 50MB)
    ↓
POST /api/photo
    ↓
┌─────────────────────────────────────┐
│      TEE Backend                    │
│  1. Validate image                  │
│  2. Generate hash (SHA-256)         │
│  3. Create attestation              │
│  4. Sign with TEE key               │
│  5. Upload to Supabase              │
└─────────────────────────────────────┘
    ↓
Supabase Storage + Database
  • Image file (Storage)
  • Metadata (Database):
    - photo_id
    - image_hash
    - tee_signature
    - timestamp
    - tee_address

• Phase 1: Photo capture UI
• Camera access and preview
• Photo capture and compression
• Local metadata storage
• Phase 2: Basic backend
• Express server
• Photo upload endpoint
• Local file storage
• Phase 3: TEE attestation
• Image hashing
• Cryptographic signing
• Attestation verification
• Phase 4: Supabase integration
• Storage bucket setup
• Database schema
• Photo upload flow
• Public gallery

Mentra App:

• Vanilla JavaScript
• Mentra Camera API
• localStorage for metadata

Backend (Coming):

• Node.js + Express
• Ethers.js (for TEE signing)
• Supabase SDK

Storage (Coming):

• Supabase Storage (images)
• Supabase Database (metadata)

MIT