Technologies & Libraries: The project was predominantly executed using Python, leveraging several critical libraries, APIs, and frameworks to optimize performance and streamline functionalities. Notable libraries and tools employed include [Specify the Libraries and APIs used, e.g., TensorFlow, Keras, NLP techniques].