Product Defect Detection App

What it does

About
The Product Defect Detection app is designed to help companies maintain high-quality standards by automatically identifying defects in products through advanced image analysis. Built with Streamlit, it offers a user-friendly interface for easy image uploads. The app leverages Google’s Gemini API, a powerful generative AI model, to analyze images for defects like damage or improper labeling, ensuring only defect-free products proceed through production.

How It Works
- Users upload product images through a simple interface, with the image displayed for immediate visual confirmation.
- The app sends the image to the Gemini API, which analyzes it for specific defects and returns a detailed analysis.
- Results are displayed next to the image, allowing users to quickly review findings and make quality decisions.

Future Scope
- Scalability: Integrating with Google Cloud Storage will allow the app to handle large volumes of images, enabling batch processing.
- Automation: Using Cloud Functions and Pub/Sub can automate the analysis, allowing real-time processing.
- Data Insights: BigQuery integration will enable long-term storage and trend analysis of defect data.
- Reliability: Deploying on Google Kubernetes Engine (GKE) will ensure high availability and scalability.