OningEdu

Core Features · Features & Capabilities

AI for Indian classroomsBuilt for domestic b2b.

The challenge

Indian educators face extreme student-to-teacher ratios, making it physically impossible to provide individualized doubt clearance or granular progress tracking for dozens of learners simultaneously within a fixed classroom hour.

How AI Professor™ helps

The platform utilizes Retrieval-Augmented Generation (RAG) mapped specifically to prescribed textbooks and syllabus heatmaps to ensure AI responses remain curriculum-bound. Coach Mode facilitates guided inquiry rather than providing direct answers, while the automated exam grading module reduces administrative overhead for faculty by handling repetitive assessment tasks.

Why domestic b2b pick AI Professor™

Most "ai for indian classrooms" 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 platform ensure AI responses don't deviate from the NCERT or CBSE syllabus?

The system employs a strict RAG (Retrieval-Augmented Generation) architecture where the AI is grounded exclusively in the school’s uploaded PDF textbooks and local teacher notes. This prevents the 'hallucinations' common in open-web AI models, ensuring all student queries are answered using board-approved terminology and methodology.

Does AI Professor support regional Indian languages for classroom instruction?

Yes, the architecture supports multilingual processing to accommodate the Three-Language Formula followed in several Indian states. Students can interact with the AI in languages such as Hindi, Marathi, and Tamil, allowing those from vernacular medium backgrounds to grasp complex STEM concepts in their primary language.

How can teachers monitor if students are misusing the AI to cheat on assignments?

The platform includes a specialized 'Coach Mode' and a teacher-facing dashboard. Coach Mode is engineered to provide hints, analogies, and step-by-step guidance rather than full answers. All interactions are logged on the parent and teacher dashboards, providing complete visibility into how a student reached a specific conclusion.

What infrastructure is required to implement AI Professor in a typical Indian school setting?

The platform is built to be lightweight and accessible via standard browser interfaces on low-bandwidth connections. It does not require high-end hardware; it functions efficiently on tablets, existing computer lab desktops, or smartphones, ensuring that digital divide issues do not hinder institutional adoption.

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