Core Features · Features & Capabilities
AI student monitoringBuilt for pastoral/academic leads.
The challenge
Pastoral leads often lack visibility into specific learning gaps until after major assessments, making it impossible to address individual student frustration or disengagement as it occurs during self-study.
How AI Professor™ helps
The platform utilizes syllabus heatmaps to reveal which chapters cause the most friction, while Coach Mode logs individual query patterns. Academic leads can monitor these trends via the parent and admin dashboards to identify students who are struggling with specific textbook concepts before they fail a mock exam.
Why pastoral/academic leads pick AI Professor™
Most "ai student monitoring" pitches are a thin wrapper around a generic LLM. AI Professor™ is the opposite: deeply integrated with features & capabilities 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
from $0.99 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
Syllabus-aware, exam-pattern aware, with a mandatory safety layer and per-institution admin controls.
Frequently asked questions
How does the system distinguish between a student who is struggling and one who is just curious?
The platform analyzes query complexity and repetition within specific syllabus nodes. If a student repeatedly asks foundational questions in Coach Mode on a single NCERT chapter, the heatmap marks this as a friction point, whereas diverse, advanced queries suggest deep subject exploration rather than academic distress.
Can we monitor student activity outside of standard school hours?
Yes, the 24x7 doubt clearance logs provide pastoral leads with insights into late-night study habits and 'cramming' patterns. This data is aggregated in the dashboard to help educators identify students who may be suffering from burnout or poor time management throughout the term.
Is the monitoring data compliant with Indian data privacy standards for minors?
The platform utilizes localized RAG on textbooks to ensure all AI interactions remain within the academic scope, and our data architecture is built to align with the Digital Personal Data Protection (DPDP) Act, ensuring student interaction logs are used strictly for academic intervention.
How do parent dashboards integrate with the school's monitoring efforts?
Parent dashboards provide a filtered view of the same engagement data seen by academic leads, fostering a collaborative support system. This ensures that the school and the home are aligned on a student's progress through the syllabus, reducing the administrative burden of manual progress reporting.