AI Image Classification System

Project Overview

Developed for a technology startup, this system automates image classification using OpenAI's advanced vision API. The solution processes incoming images, analyzes their content against specific criteria, and categorizes them as either approved or failed, with detailed failure categorization for rejected images.

Features

• Image Processing:
  • Automated intake and processing of image submissions
  • Integration with OpenAI's vision API
  • Custom prompt engineering for specific image types
  • Real-time classification and categorization
• Classification System:
  • Binary approval/rejection decision-making
  • Detailed failure categorization
  • Confidence scoring system
  • Automated feedback generation
• AWS Infrastructure:
  • Serverless Lambda function deployment
  • Scalable processing capacity
  • Cost-effective execution model
  • Robust error handling

Technical Details

Built with modern cloud architecture and AI integration:

• AWS Lambda serverless infrastructure
• OpenAI API integration with custom prompting
• Efficient image processing pipeline
• Automated scaling and load handling
• Comprehensive logging and monitoring
• Secure API authentication

Results

The system successfully processes hundreds of images daily, maintaining high accuracy while reducing manual review time by over 90%. The serverless architecture ensures cost-effective scaling based on actual usage, while the sophisticated AI integration provides consistent and reliable classification results.