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Machine Learning and Deep Learning frameworks (TensorFlow, PyTorch, OpenCV, scikit-learn); Familiarity with cloud computing technologies (Azure, AWS, Google Cloud) and containerization tools such as Docker
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deep learning algorithms by leveraging LLMs and compare them with traditional methods; and 4) develop a set of tools on the project's website that can be used to evaluate lexical complexity, readability
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of AI algorithms that use advanced state-of-the-art techniques and architectures based on deep neural networks, capable of running in real-time under both "day-vision" and "night-vision" conditions. The
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