This project demonstrates an image recognition model trained using Google Teachable Machine. The model is exported in TensorFlow/Keras format and used in a Python script to classify input images.

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Abstract: Edge Artificial Intelligence (AI) relies on the integration of Machine Learning (ML) into even the smallest embedded devices, thus enabling local intelligence in real-world applications, e.g ...

This project is a web-based Medical Image Classification application developed using Python, TensorFlow/Keras, and Streamlit. The application classifies chest X-ray images into two categories: Normal ...

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