India-Specific · Institutional & Board Specific
AI for Hindi medium schoolsBuilt for regional school owners.
The challenge
Rural and semi-urban school owners face an acute shortage of qualified subject-matter experts capable of delivering high-level STEM concepts in pure Hindi, often leading to lower board exam performance compared to English-medium counterparts.
How AI Professor™ helps
The platform utilizes RAG (Retrieval-Augmented Generation) on NCERT and state-board Hindi textbooks to provide 24/7 doubt clearance and 'Coach Mode' tutoring in the student's native language. It integrates syllabus heatmaps to identify learning gaps across classes, allowing administrators to monitor curriculum progress and automate bilingual exam grading to reduce teacher burnout.
Why regional school owners pick AI Professor™
Most "ai for hindi medium schools" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with institutional & board specific workflows, with branding, rosters, syllabus, exams and admin controls every decision-maker recognises.
What's in the box
A branded portal, an AI Teacher persona for every subject, 24×7 doubt-clearance, auto-graded worksheets and exams, handwriting evaluation, parent dashboards in regional languages, and a real admin console — usage, safety incidents, faculty workload.
Pricing & deployment
₹37 per student per month. A 14-day pilot covers branding, syllabus loading, teacher onboarding and parent communication. Full rollout typically takes 4–6 weeks.
Compliance & safety
Aligned with NEP 2020, CBSE, ICSE and Indian State Boards. Indian data residency. Mandatory K-12 safety filter.
Frequently asked questions
How does the AI handle technical scientific terms that don't have common Hindi equivalents?
The system uses a 'Hinglish' hybrid approach or provides the English term in parentheses alongside the Hindi explanation. This ensures students remain familiar with standard terminology used in competitive exams like JEE or NEET while understanding the underlying concept in their primary language.
Can school owners monitor teacher performance using AI Professor in Hindi-medium settings?
Yes, the administrator dashboard provides syllabus heatmaps that track which chapters have been covered and the collective proficiency of the class. This allows owners to identify if a particular teacher needs support or if a specific subject is lagging behind the academic calendar.
Is the AI response limited to simple translation of English content?
No, the AI uses RAG technology specifically mapped to the Hindi versions of NCERT and State Board textbooks. It generates original explanations and contextually relevant examples that resonate with the cultural and academic background of a Hindi-medium student rather than literal, robotic translations.
How does automated grading work for Hindi subjective answers?
The platform's grading engine is trained to recognize Devnagari script and Hindi syntax. It evaluates student responses based on keyword accuracy, conceptual clarity, and adherence to the board's marking scheme, providing teachers with a preliminary score and feedback to expedite the evaluation process.