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CASE STUDY
Automated Face Recognition Event Gallery
Event photo management system with facial recognition for personalized gallery creation and secure cloud storage.
About This Project
Developed an event management system that automatically organizes and delivers personalized photo galleries using facial recognition (Amazon Rekognition). Implemented attendee indexing, bulk photo uploads, and secure cloud storage with AWS S3 using a full-stack architecture (Node.js, Next.js, PostgreSQL).
Key Features
- Event management with automated photo gallery creation using face recognition
- Facial recognition using Amazon Rekognition to automatically match attendees with event photos
- Attendee selfie capture for facial indexing
- Personalized Photo Galleries auto-organized per attendee
- Photographer upload portal for bulk photo uploads
- AWS S3 integration for cloud storage
Tech Stack
ReactNext.jsTypeScriptNode.jsExpressPostgreSQLPrismaAmazon RekognitionAWS S3