Coming soon
Mains evaluation, in the language you teach in
AI-assisted grading of descriptive answers in Hindi, Marathi and English, marked against your own rubric. Your teacher sees every score and can override it.
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Akhaara AI
Built on how real students answer real exam questions.
Akhaara AI learns from 2,49,250 questions and from how students actually scored on them across 49 exams. When it predicts a score or flags a weak topic, it is working from those results.
How it works: Akhaara AI is built on real attempt data from Quiz4Exam, where aspirants take full-length mocks under exam conditions.
Expected score distribution
ExampleSBI PO Prelims · Full Mock 13 · 100 marks, before any student sits it
56expected average52%between 40 and 70Quanthardest section
For institutes
Five tools for owners and teachers.
Each tool is marked with where it stands today.
In beta
Papers with predictable difficulty
Generate a test and see its expected score distribution before students sit it. Difficulty is calibrated on how real students answered each question.
In beta
What to teach next
After each test, a batch-level report of weak topics, with a ready revision plan and a targeted follow-up test.
Coming soon
Bring your old papers
Upload a PDF or photograph a printed paper, and it becomes a digital test your students can take online.
Coming soon
Doubt digest
A weekly report of what your students are struggling with, so teachers know what to revise.
The data behind it
Built on Quiz4Exam's exam data.
49exams covered
2,49,250questions
6,856+practice tests
3languages
For students
Practice aimed at each student's weak topics.
Coming soon
Personalised practice
Practice sets built from each student's weak topics, so revision time goes where it is needed.
Coming soon
Honest rank prediction
A predicted rank against the real cohort who took the same tests, shown as it is, even when it isn't what the student hoped for.