1. Learner Context
The system considers the selected class, exam goal, subject, topic, prior attempts and interaction signals before a lesson begins.
Process
How AI Kalvi Works
AI Kalvi teaches through a loop: understand the learner, explain the concept, ask a diagnostic question, detect confusion, adapt the method and record progress.
2. Whiteboard Teaching
Concepts are broken into board-style steps with diagrams, examples and mathematical explanations where needed.
3. AI Mother
AI Mother is the tutoring persona that encourages the learner, asks follow-up questions and changes tone when the student appears confused or hesitant.
4. Voice AI
Voice practice supports spoken English, oral answers and conversational learning. Learners can rehearse fluency, pronunciation and explanation skills.
5. Adaptive Remediation
If a learner gives an incorrect answer, the system can switch to analogy, visual explanation, step-by-step derivation, simpler prerequisite review or targeted practice.
6. Progress Tracking
Progress signals include completed lessons, quiz answers, mastery estimates, revision needs and topic-level learning gaps.