Explainable AI Chatbot Using Vector Similarity Search and Llm's

Key Points

• This research aims to assess how an explainable AI chatbot can enhance knowledge and awareness of waste management among women.
• Implemented an AI chatbot utilizing vector similarity search for personalized learning.
• Evaluated the effectiveness of the chatbot through pre- and post-intervention assessments.
• Engaged women in a learning program facilitated by the chatbot.
• Participants showed a significant improvement in waste management knowledge after using the chatbot (p<0.05).
• The chatbot's explainable features helped users understand complex waste management concepts better.
• User engagement metrics indicated high satisfaction and usability ratings for the AI chatbot.