StudyMate AI Tracks Student Cognitive States With Voice Interface for ICSE/CBSE Learners

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A developer has built StudyMate AI, a voice-first adaptive learning platform targeting ICSE and CBSE students in India, submitted as part of the HackHazards '26 hackathon. Unlike conventional AI tutoring chatbots, the system continuously monitors a student's cognitive state per topic, classifying them as mastering, underperforming, avoiding, or struggling based on behavioral patterns over time. The platform uses Neo4j AuraDB to model student-topic relationships as a graph, enabling nuanced queries such as identifying avoided topics that are prerequisites for ones a student is already struggling with. Voice interaction is powered by Sarvam AI's Bulbul V3 and Saaras tools, chosen for their robustness with Indian English and code-switched Hindi-English speech, and the project was subsequently accepted into the Sarvam Startup Program. The app is built on React Native via Expo and incorporates spaced repetition using the Ebbinghaus forgetting curve, with a live web version deployed on Vercel.

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