The chatbot will utilize the ChatGPT API to process user inputs and generate coherent and contextually relevant responses. The chatbot should handle various conversation topics, maintaining the flow and context of the conversation.
Speech-to-Text Integration:
Objective:
Enable voice interaction with the chatbot to enhance accessibility and user experience.
Functionality:
Integrate a speech-to-text model, such as Whisper, to allow users to give voice commands. The model will accurately convert spoken language into text, which will then be processed by the chatbot. This integration will provide users the flexibility to interact with the chatbot either through typing or speaking.
Chatbot Animations and Expressions:
Objective:
Enhance user engagement by making the chatbot interaction more visually appealing and dynamic.
Functionality:
Implement animations and visual expressions for the chatbot. These may include facial expressions, gestures, and other visual cues that respond appropriately to the conversation context. This will make interactions feel more lifelike and engaging.
User Memory and Context Continuity:
Objective:
Enable the chatbot to remember user details and the context of previous interactions, allowing for personalized and continuous conversations.
Functionality:
Implement a memory feature that stores relevant user information and past conversation context. The chatbot will use this stored data to provide responses that are consistent with previous interactions. This feature will make the conversations more personalized and context-aware, improving user satisfaction and engagement.