SnapNest – Event Photo Sharing Platform with QR Face Recognition

SnapNest is a modern and powerful event photo sharing platform built with Laravel and Tailwind CSS. It allows event organizers, photographers, and guests to easily upload, manage, and access event photos using QR codes face recognition.

SnapNest provides a seamless and secure way to collect and share photos for weddings, parties, corporate events, and private functions. Guests can simply scan a QR code to upload photos or find their own photos instantly using face recognition.

The platform is designed with clean architecture, professional UI, and scalable performance, making it ideal for startups, SaaS businesses, photographers, and event management companies.

Key Features

EVENT MANAGEMENT

• Create & Manage Events: Full CRUD with custom slugs, event types (wedding, corporate, sports, etc.), dates, expiry, and hashtags.
• Guest PIN Access: Protect galleries with a numeric PIN code for authorized viewing only.
• Share Tokens: Generate unique share URLs with embedded tokens for secure gallery access.
• Event Design Customization: Configure watermark settings, gallery layout, and branding per event.
• Storage Quotas: Per-event storage tracking with quota enforcement based on user plans.
• Bulk Import/Export: Import and export events in bulk for efficient management.

MEDIA UPLOAD & PROCESSING

• 5 Upload Methods: Batch (multi-file), chunked (large files with SHA256 checksums), ZIP archive extraction, FTP camera tethering, and Google Drive import.
• Queue-Based Processing: Asynchronous image optimization via ProcessEventMedia jobs with configurable timeouts and retries.
• Automatic Watermarking: Plan-based watermark application with cached GD resources for performance.
• EXIF Orientation Fix: Automatic image rotation correction during processing.
• Supported Formats: Images (JPEG, PNG, WebP, GIF, HEIC) and Videos (MP4, MOV, AVI, MKV).
• Bulk Operations: Select-all-pages pattern for bulk delete, download, and management.

FACE RECOGNITION SEARCH

• Dual Mode: Server-side Python (OpenCV YuNet + SFace) or browser-based ONNX Runtime — works on any hosting.
• Auto Detection: FACE_MODE=auto tries Python first, falls back to browser mode automatically.
• Guest Self-Search: Visitors upload a selfie to find their photos in the event gallery.
• Browser Mode: Face detection and matching run entirely in the visitor’s browser — no Python required. Works on shared hosting.
• Configurable Threshold: Similarity threshold adjustable (default 0.35) for matching accuracy.
• Batch Indexing: DeferredFaceIndex job processes faces in batches per event.
• Rate Limited: 5 searches per minute per IP to prevent abuse.
• Session-Based: Search results expire after 30 minutes for privacy.
• GDPR Compliant: Face data automatically cleaned up when events are deleted.

IMAGE EDITOR

• Built-In Editor: Filerobot Image Editor integrated directly into the admin panel — no external software needed.
• Full Quality Editing: Loads the original uncompressed image instead of the optimized preview.
• Complete Toolset: Crop, resize, rotate, flip, brightness, contrast, saturation, warmth, filters, text, shapes, and annotations.
• High-Res Export: Saves images at 4x pixel ratio for maximum output quality.
• Seamless Pipeline: Edited images automatically go through watermarking, optimization, and face re-indexing.