IDEA - The basic idea is to create a chatbot with integrated functionalities for face detection, interaction with the user based on detected face, and providing personalized banking advice and services. Here's a step-by-step breakdown:
Face Detection: The system first detects a face, identifying it as belonging to a specific person (Person A).
Initiating Interaction: The chatbot takes over, addressing the identified person by name (Person A) and initiates a conversation.
User Response: Person A responds to the chatbot's greeting.
Data Analysis: The system runs an analysis on Person A's data, likely retrieving information such as bank balance, credit score, loan status, bill status, and any disputed amounts from a database.
Service Recommendations: Based on the analysis, the chatbot offers a menu of possible services tailored to Person A's financial situation. FAQ Training: Training the chatBot with FAQs and mapping to relevant answers using BERT
TO-DO : The chatbot is integrated with OpenAI's GPT-3 for small talk, allowing it to engage in casual conversation and maintain a friendly tone. Allow to train FAQs and use the
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