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Add Hugging Face metadata
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README.md
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# Semiconductor Wafer Defect Detection: End-to-End AI Pipeline
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## Project Overview
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This project is a complete, end-to-end Applied AI pipeline designed for the semiconductor manufacturing industry. It takes raw mathematical array data representing defective semiconductor wafers, engineers them into an AI-ready computer vision dataset, trains a custom YOLOv8 object detection model, and feeds the results into a predictive material waste model and real-time dashboard.
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title: Semiconductor Defect Detection
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emoji: 🔬
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sdk: docker
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pinned: false
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# Semiconductor Wafer Defect Detection: End-to-End AI Pipeline
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## Project Overview
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This project is a complete, end-to-end Applied AI pipeline designed for the semiconductor manufacturing industry. It takes raw mathematical array data representing defective semiconductor wafers, engineers them into an AI-ready computer vision dataset, trains a custom YOLOv8 object detection model, and feeds the results into a predictive material waste model and real-time dashboard.
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