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The rapid growth of the food delivery industry has led to an increasing demand for advanced artificial intelligence (AI) techniques to optimize various aspects of the service, including demand prediction, route optimization, personalized meal recommendations, and customer support. This paper presents a comprehensive analysis of deep learning and natural language processing (NLP) techniques for enhancing food delivery services. We discuss advanced deep learning techniques for food demand prediction and inventory management, deep reinforcement learning for route optimization, deep learning-based food image recognition for personalized meal recommendations, and NLP techniques for improved customer support and order processing. The paper highlights the strengths and limitations of these techniques and identifies persisting research gaps that need to be addressed for further improvement. Our …