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Doubt Resolution Chatbot - Design Review Interview
Overview: 
The Doubt Resolution Chatbot is designed to assist students in resolving academic queries using AI technology. It aims to provide real-time support, manage follow-up questions, and ensure efficient resolution of doubts through automated and teacher-assisted mechanisms.
Functional Requirements:
Input Handling:
Support text and image-based inputs from students.
Provide seamless real-time chat capabilities.
Conversation Management:
Allow students to ask follow-up questions within the same chat thread.
Detect off-topic follow-up questions and initiate new threads as needed.
Resolution Management:
Enable students to mark doubts as resolved, closing further conversation in that thread.
Provide students with the ability to view and resume unresolved threads.
Escalation Mechanism:
Allow students to escalate unresolved doubts to a teacher if dissatisfied with the bot's responses.
Assignment and Notification:
Match and assign doubts to teachers based on subject and batch criteria.
Notify teachers of new assignments and students of solutions provided.
Classification and Reporting:
Analyze and classify each doubt by difficulty level, topic, subtopic, and subject.
Allow students to report incorrect answers provided by the bot.
Teacher Interface:
Provide an intuitive interface for teachers to view and respond to assigned doubts.
Allow teachers to respond using text, images, or audio formats.
Real-time Updates:
Send real-time notifications to both students and teachers regarding doubt status updates.
Notify students when their doubts are escalated or resolved.
Historical Tracking:
Maintain a comprehensive history of all doubts and their respective conversations.
Context Management:
Ensure each session retains conversation context for accurate follow-up handling.
Deliverables:
Architecture Diagram: Detailed diagram illustrating system components and interactions.
Database Schema: Design schema supporting functional requirements with rationale.
Justification: Explanation of design decisions aligning with requirements and design principles.