India-Specific · Competitive Exams & Coaching
AI mock test generatorBuilt for edtech platforms.
The challenge
EdTech product teams struggle with the manual high-cost bottleneck of sourcing high-quality, non-repetitive Physics and Math questions that correctly map to the specific difficulty tiers required for Indian competitive exam cycles.
How AI Professor™ helps
The platform utilizes RAG-enhanced processing on standard NCERT and reference textbooks to generate fresh question banks that replicate official exam nuances. It features automated exam grading with step-by-step reasoning and syllabus heatmaps to identify student learning gaps across specific sub-topics.
Why edtech platforms pick AI Professor™
Most "ai mock test generator" 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 the generator ensure question accuracy for complex JEE Physics or UPSC concepts?
The system uses RAG (Retrieval-Augmented Generation) to ground the AI in verified Indian textbooks and pedagogical frameworks. This prevents hallucinations by forcing the model to verify mathematical formulas and historical facts against a controlled knowledge base before generating the assessment.
Can the mock test generator integrate with our existing LMS via API?
Yes, AI Professor™ provides RESTful APIs designed for seamless EdTech integration. Platforms can programmatically trigger the creation of daily practice problems (DPPs) or full-length adaptive tests, delivering the structured JSON output directly into their custom frontend or mobile application.
Does the system support the latest NTA negative marking and question patterns?
The engine is updated to reflect specific marking schemes, including Section B numerical integer types for JEE and multi-statement 'Correct/Incorrect' pairings for UPSC. This ensures that the mock tests provide a realistic simulation of the current high-stakes testing environment students face.
How do syllabus heatmaps add value to our student dashboard?
The platform analyzes performance across thousands of AI-generated questions to produce granular heatmaps. For an EdTech provider, this means being able to show students exactly which sub-topics (e.g., 'Rotational Mechanics' or 'Organic Synthesis') require revision based on real-time mock test data.