Product · Education AI

Study24by7

An AI teacher for every student, and intelligence for every teacher. Students get a voice-enabled AI Teacher aligned to the NCERT syllabus. Teachers see who is struggling before the exam does. Institutions get outcome data and privacy built for minors.

A teacher at the front of a school classroom with students at their desks

Built around an AI teacher, not a PDF viewer

Most digital learning is the textbook on a screen plus a quiz bank. Study24by7 starts from the other end: a model that explains, questions, listens and adapts, with the curriculum, the teacher and the institution wired into the loop.

For students

A patient AI Teacher that explains a concept three different ways, sets practice on the exact weak spot, and runs viva-style questioning out loud.

For teachers

Class and student-level intelligence, early intervention alerts, and grading support that returns marking time to teaching time.

For institutions

Engagement and outcome dashboards across every section, and a data model designed from day one for students who are minors.

For teachers

See the struggling student in week three, not in the marksheet

Every attempt, hint request and wrong answer is a signal. Study24by7 turns those signals into a short list of who needs attention, on which concept, so a teacher's limited one-to-one time goes where it changes an outcome.

  • Topic-wise mastery for the class and for each student
  • Alerts when a student's pattern changes: fewer attempts, more hints, longer gaps
  • Grading support for practice sets and written answers, with the teacher reviewing and overriding
  • Auto-generated remedial sets a teacher can assign in one step
Illustrative preview of a teacher view. Sample data, not results.

For students: explains, questions and listens

The AI Teacher works in text and voice. A student can ask why a step works and get an explanation pitched at their level, then be asked a question back to check it landed. Practice is generated on the concept they got wrong, not on the chapter in general.

AI Teacher & Tutor

Explains at the student's level in text and voice, and guides through a problem without giving the answer away.

NCERT-aligned content

Chapter-by-chapter content mapped to learning objectives across the syllabus.

Homework & practice

Adaptive sets that respond to each attempt, auto-checked, with teacher review.

Flashcards & viva

Spaced recall for facts and spoken question-and-answer practice for confidence.

Exam preparation

Timed papers, topic-wise revision plans and readiness indicators.

Adaptive learning paths

Topic order and difficulty reordered around each student's demonstrated gaps.

For institutions: outcome data, privacy built for minors

Principals and academic heads see engagement and progress across sections, subjects and terms. Because most users are children, the data model is designed with the expectations of India's Digital Personal Data Protection Act for children's data in mind.

Engagement and outcome dashboards
Active students, time on task, mastery movement and exam readiness by section, subject and teacher.
Privacy by design
Data minimisation, purpose limitation, guardian consent workflows and defined retention.
Role-based access
Separate roles for teachers, administrators and guardians, with audit logs on who accessed what.
Built for the Indian syllabus
NCERT alignment, with chapter and learning-objective mapping across the syllabus.

A digitised textbook versus an AI-native platform

The difference is not the content. It is whether the system knows what each student does not yet understand, and does something about it.

With a digitised textbook

  • Same chapter, same order, same video for every student
  • Quizzes report a score; nobody acts on what was wrong
  • Teachers get a completion percentage, not a diagnosis
  • Viva and oral practice are not covered at all

With Study24by7

  • Learning path re-ordered around each student's demonstrated gaps
  • Wrong answers generate targeted practice on that concept
  • Teachers get a named list of who needs help on what
  • Spoken viva practice with follow-up questions

Pilot first. Expand on evidence.

We do not ask an institution to switch every classroom on day one. A rollout runs in four stages with a review gate between each.

1

Pilot classroom

One or two sections, one or two subjects. Guardian consent collected, devices checked, baseline mastery captured.

weeks 1–2
2

Teacher onboarding

Teachers learn the intelligence view, alert handling and grading review. Content mapping adjusted to the school's teaching sequence.

weeks 2–4
3

School-wide rollout

Remaining sections and subjects switched on in waves. Admin roles, timetable and guardian communication set up.

term 2
4

Analytics review

Leadership review of engagement, mastery movement and intervention outcomes against the baseline.

end of term

Plan a pilot for next term

Guardian consent, device checks and baseline mastery take the first two weeks, so a pilot for next term has to be scoped this one.

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