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Utilizing natural language processing, the chatbot interprets user input to generate appropriate responses from a predefined set of intents. The underlying machine learning model is trained on an extensive dataset, allowing ROBY to understand and respond to a variety of user queries.\n\nThe chatbot's capabilities extend beyond typical conversational exchanges. ROBY can also handle mathematical expressions, enabling users to input expressions for evaluation. The application utilizes a neural network model built with the Keras library to recognize patterns and generate responses. The model is trained on a diverse set of intents stored in a JSON file, ensuring flexibility and adaptability to user inputs.\n\nThe graphical user interface is built using Tkinter, providing an interactive and user-friendly environment. The chat history is displayed in a text widget, allowing users to track conversations. The application supports various functionalities, including retrieving the current time and date, making it a versatile companion for users seeking information and assistance.\n\n\n## How to Use:\n\n\nEnsure you have Python installed on your machine.\n\nClone the repository: git clone [https://github.com/your-username/roby-chatbot.git](https://github.com/iiiiOreo/ROBY-Chatbot.git)\n\nNavigate to the project directory: cd roby-chatbot\n\nRun the chatbot: ROBY.py\n\n\n## Read the Poster : [ROBY Poster.pdf](https://github.com/iiiiOreo/ROBY-Chatbot/files/14376895/ROBY.Poster.pdf)\n\n## Read the Presentation : [ROBY.pdf](https://github.com/iiiiOreo/ROBY-Chatbot/files/14376905/ROBY.pdf)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiiiioreo%2Froby-chatbot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fiiiioreo%2Froby-chatbot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fiiiioreo%2Froby-chatbot/lists"}