Smart Counselling Bot

Abstract

Problem Statement: The problem is to create a conversational bot with a synthetic face that can interact with humans in a natural and engaging manner. This involves developing both the natural language processing (NLP) capabilities of the bot to understand and respond to human queries and developing a synthetic face that can convey emotions and expressions to enhance the user experience. Challenges: There are several challenges in creating a conversational bot with a synthetic face. Firstly, the NLP capabilities of the bot need to be robust and accurate enough to understand and respond to a wide range of user queries. Secondly, the synthetic face needs to be realistic and expressive enough to convey emotions and engage the user. Finally, integrating the NLP and synthetic face components into a seamless user experience poses a significant technical challenge.Scope: The scope of the conversational bot with a synthetic face is broad and can be used in a variety of applications. The bot can be used in customer service, education, entertainment, and other industries where human-like interaction is desirable. Comparison with Existing Systems/Evaluation Methods: Existing conversational AI systems typically rely on text-based interactions and do not include a synthetic face component. Therefore, the conversational bot with a synthetic face offers a more engaging and human-like user experience. Evaluation of the system can be done through user testing and feedback to assess the effectiveness of the NLP and synthetic face components. Conclusion and Future Directions: Creating a conversational bot with a synthetic face is a challenging task. However in the future, the scope of the system can be expanded to include multi-lingual support and integration with other technologies.