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Facial Emotion Recognition Using Chatbot and Raspberry Pi

  • Sunil Bhutada,
  • Meghana Madabhushi,
  • Satya Shivani,
  • Sindia Choolakal

摘要

A chatbot is computer software that can analyze human language, simulate a conversation with a specific user, and have the potential to interact with other bots that are available. The analysis of various emotions resulting in reactions conditioned by an emotion will be performed with a combination of Natural Language Processing and machine learning approaches. This chatbot will serve as a base. The user’s emotions can be read from their facial expressions. These expressions can be produced from either the live feed provided by the system’s camera or any previously stored image. Human emotions may be identified, and their study has an extensive impact. Python, open-source Computer Vision library (Open CV), NumPy, pandas, Docker, and TensorFlow will all be used in the project’s implementation. In order to predict emotion, the training dataset is compared to the scanned image (testing dataset). The major goal is to develop more effective and dependable chatbots and to deliver improved user feedback with the intention of responding in line with the user’s emotions.