AI-Powered Stamp Identification Platform
A sophisticated web application that uses artificial intelligence to identify, analyze, and catalog postage stamps. Features include automated stamp recognition, perforation measurement, condition grading, collection management, and downloadable trading cards.

Project Overview
AI Stamp Identifier is a comprehensive philatelic platform that revolutionizes stamp collecting through advanced AI technology. The application enables users to upload stamp images and receive instant identification, detailed analysis, and professional-grade condition assessments.
Key Features
Core Functionality
-AI-Powered Stamp Recognition: Advanced machine learning algorithms identify stamps from uploaded images with high accuracy
- Automated Perforation Analysis: Digital perforation gauge measures holes per 2cm on all four sides
- Margin & Centering Analysis: AI calculates precise margin measurements and centering grades
- Condition Grading System: Comprehensive philatelic condition taxonomy (MNH, MOG, MLH, MH, etc.)
- Gum Condition Assessment: Detailed gum condition analysis (OG, NG, POG, DOG, SW, CG)
- Damage & Restoration Detection: Identifies thins, scuffs, tears, creases, reperforation, and repairs
- Collection Management: Unlimited collection size with advanced filtering and search capabilities
- Trading Card Generation: Downloadable professional trading cards for each identified stamp
- Page Scan Support: Process entire stamp album pages with multiple stamps simultaneously
- Public Stamp Sharing: Share stamp details via UUID-based public links
Technical Capabilities
- Image Processing: Advanced image manipulation with rotation correction, corner detection, and pixel-perfect measurements
- Reference Object Calibration: Uses quarter coin for accurate scale measurement (pixels/mm conversion)
- Multi-Stamp Processing: Handles single stamps, blocks of four, and full page scans
- Real-time Analysis: Instant processing and results display
- Export Functionality: Download images, reports, and trading cards
Project Gallery
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