AI Prajna is JaiEdu Transform's Education OS (EdOS): a unified AI-powered platform serving multiple learning verticals, Gurukul, Schools, Home, and Coaching, built and maintained by JaiEdu Transform. It blends Gurukul-rooted pedagogy with adaptive AI, and is designed to scale with high quality learning outcomes as the primary goal.
The traditional framework relies on uniform pacing and strictly rigid assessment structures, creating friction across diverse learning needs.
Fine-tuned personalization frameworks adjusting to individual pace.
Integration with CBSE, State Boards, and NIOS curriculum structures.
AI-assisted, SME-reviewed content ensuring factual groundedness.
Our primary focus. AI Prajna tracks performance in real time and adjusts task difficulty as gaps show up, freeing teachers for mentorship.
Doubt resolution at any time of day and practice sets that adjust to a student's specific curricular gaps.
A learner profile that follows a student across their academic path, linked to current industry practice.
Simplifies language, converts text to speech, or shifts to calmer content based on each child's sensory needs.
Moves past standard pacing with advanced, interdisciplinary work calibrated to keep challenge high without burnout.
Learning at the point of need, exactly when a skill gap shows up, with dashboards tracking real capability growth.
Science, Technology, Entrepreneurship, Arts, Maths and Self Development, woven into one learning path.
Analyzes performance down to the concept level. Study time goes to the highest weightage, weakest areas first.
The primary beneficiary. Onboarding, daily learning focus, progress tracking, and outcome planning. Targets Gurukul learners.
Four roles supporting the student: AI Paalaka (mentor), AI Poshaka (parent), AI Paataka (teacher), AI Prashaasaka (administrator).
AI Medha creates material, AI Saara curates it, across three dimensions: Paraa, Aparaa, and Vyakti Vikas.
Handles the software development, verification, and release management behind AI Prajna itself.
11 principles across 3 categories, evaluating every piece of AI-generated learning content. Correct content that doesn't teach well, or doesn't operate safely, has failed at its job.