AI learning tools

Academic intelligence, grounded in a real curriculum

Every question TeacherPilot AI writes carries a difficulty tag and a source reference, so a teacher can check it rather than trust it blindly.

Exam preparation

TeacherPilot AI

Generates curriculum-aligned homework and full board-pattern examination papers for CBSE, ICSE and six state boards, matching each board's real section structure and marking scheme — not a generic question bank.

  • JEE Main, JEE Advanced, BITSAT, VITEEE, CUET UG, CUET, NEET and State CET calibration
  • Difficulty classified per question: Intermediate, Advanced, Expert, Extremely Difficult
  • Exam-relevance scoring based on how often a topic has appeared in past papers
  • A source reference on every question — the chapter or syllabus unit it's drawn from
  • Generated in English or Hindi
CBSE · Class 10 · ScienceExpert

Q9 (5 marks). A metal rod of resistance 8 Ω is cut into two equal halves, and the halves are connected in parallel. (a) Calculate the new effective resistance. (b) Explain why the change occurs in terms of cross-sectional area and length.

Answer: Each half has resistance 4 Ω; in parallel, R = (4×4)/(4+4) = 2 Ω. Halving the length halves resistance, and the parallel combination halves it again.
Source: NCERT Class 10 Science, Ch. 12 — Electricity
Assessment

Custom Assessment Builder

For a teacher who wants to write the paper themselves. Reusable board and grade-based formats keep a hand-built assessment consistent with the school's existing templates, and it stays clearly separate from anything AI-generated.

  • Board and grade-based question-format templates
  • Curriculum-aligned sections, built from the same topic map TeacherPilot AI uses
  • No AI content mixed in unless the teacher adds it deliberately
Custom Assessment — Class 8 EnglishTeacher-authored
Section A — Reading
10
Section B — Grammar
7
Section C — Writing
3
Insights

Student AI Insights

Reads a student's existing marks and attendance history to surface where they're improving, where they're stalled, and which subjects need attention before the next exam.

  • Subject-wise strengths and learning gaps
  • Performance trends across terms, not a single snapshot
  • Specific improvement opportunities, tied to real marks
Student AI Insights — Aarav Mehta, Class 8B
Mathematics
76%
Science
62%
Gap flagged: Numerical questions in Physics dropped 14 points this term — practice set suggested.
Career guidance

Career Mentor AI

Turns a student's strengths and academic performance into a specific, explainable recommendation — the subjects and skills behind the suggestion are shown, not hidden.

  • Career recommendations based on strengths, not a one-time questionnaire
  • Relevant subjects and skills named directly
  • A suggested learning path to act on next
Career Mentor AI — Riya Sharma, Class 11
Mathematics
88%
Computer Science
90%
Suggested path: Engineering / Computer Science — consistent strength across three terms.
Usage

AI Credit Wallet

AI generation is metered through a credit wallet, so a school can see exactly how much it's using and by whom — without exposing internal model costs.

  • Available credit balance, visible to administrators
  • Usage history by feature and by teacher
  • A transaction log for every credit spend
Credit wallet — Greenwood Public School
Credits remaining
3,420
Used this month
880
TeacherPilot AI — Class 10 Science paper — 40 credits
Career Mentor AI — Class 11 batch refresh — 120 credits

See TeacherPilot AI generate a paper live

Bring your own syllabus and board — we'll generate a sample paper on the call.