AI

AI Image Recognition & Classification System

Develop an image recognition system for product categorization, quality control, and automated tagging.

Our role: AI Engineer

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AI Image Recognition & Classification System product screenshot, built by Devs & Logics

The challenge

High accuracy requirements, custom categories, real-time processing, and integration with existing systems.

What Devs & Logics delivered

Solution 1: OpenAI CLIP for zero-shot image classification
Solution 2: Custom fine-tuned models for specific use cases
Solution 3: Next.js for image upload and results display
Solution 4: Supabase Storage for image management
Solution 5: Batch processing pipeline for large volumes
Solution 6: Confidence scoring and human-in-the-loop validation
Solution 7: API endpoints for integration with other systems

Outcomes

Classification accuracy of 96%
Processing time reduced from 5 minutes to 10 seconds
Automated 50,000+ product categorizations
Cost savings of $100K+ annually

Technologies

OpenAI CLIPPyTorchNext.jsSupabasePythonFastAPITypeScriptVercel

saas mvp development

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