India-Specific · Competitive Exams & Coaching
AI engineering entranceBuilt for pcm tutors.
The challenge
Tutors often spend over 60% of their contact hours addressing basic conceptual gaps in mechanics or stoichiometry, leaving insufficient time for solving high-order thinking skills (HOTS) and complex multi-concept numericals.
How AI Professor™ helps
The platform utilizes syllabus heatmaps to identify weak areas across the batch and provides RAG-based 24/7 doubt clearance using approved Indian textbooks. Coach Mode allows tutors to set custom constraints, ensuring the AI guides students through step-by-step derivations rather than just providing immediate answers.
Why pcm tutors pick AI Professor™
Most "ai engineering entrance" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with competitive exams & coaching 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 AI Professor handle complex JEE Advanced multi-correct and integer-type questions?
The system is trained on specific Indian entrance exam logic, allowing it to break down multi-concept problems into smaller modules. It validates student reasoning at each step of an integer-type question, ensuring they aren't just guessing but applying the correct physical or chemical laws.
Can I restrict the AI to only use NCERT and HC Verma as reference materials?
Yes, our RAG (Retrieval-Augmented Generation) architecture allows tutors to lock the knowledge base to specific, trusted Indian textbooks. This prevents the AI from introducing foreign terminology or out-of-syllabus methods that might confuse a student preparing for NTA-specific patterns.
How do the parent dashboards assist in maintaining student accountability?
The dashboard provides granular data on time spent per topic, accuracy rates in specific chapters like Magnetism or Organic Chemistry, and a 'consistency score.' This allows tutors to present objective growth metrics to parents during monthly reviews without manual record-keeping.
Does the platform support regional languages for students who studied in vernacular mediums?
AI Professor supports multilingual interaction, enabling students from Hindi, Marathi, or Tamil medium backgrounds to clarify complex physics concepts in their native language while gradually transitioning to the English terminology required for national-level engineering entrance exams.