Question bank management
Organize questions hierarchically — subject, topic, sub-topic — tagged with metadata, academic year, stream and course, across MCQ, descriptive, case-based and sub-question formats.
AI question paper generation
Upload a syllabus and Eklavvya generates a question bank tagged to Bloom’s Taxonomy, routes it through setter and validator roles, and delivers it to exam centers with OTP-secured, dual-login access.
What it does
Organize questions hierarchically — subject, topic, sub-topic — tagged with metadata, academic year, stream and course, across MCQ, descriptive, case-based and sub-question formats.
Generate questions from a syllabus upload, learning objectives or reference text, with automatic Bloom’s Taxonomy tagging and AI-drawn diagrams and charts where a question needs one.
Create and store questions in English, Hindi, Marathi, French and German, handled end to end within the same question bank.
Paper setters are assigned by stream and subject; validators review and approve every paper before publication, aligned to the configured exam schema.
Configure section-wise structure, optional or compulsory attempt patterns, total time, question count and type distribution per exam.
OTP-based access plus dual-login authentication — requiring both Principal and Co-ordinator passwords — before a paper can be viewed, printed with watermarks, or distributed to exam centers.
FAQ
It follows five steps: structure the question bank, manage and categorize questions, configure the exam schema, assign paper setters and validators, then publish and deliver the paper securely with OTP access.
Yes — English, Hindi, Marathi, French and German are supported, with questions created and stored in each language end to end.
Through OTP-based access and dual-login authentication requiring both Principal and Co-ordinator passwords, with watermarked previews and controlled printing.
Yes — AI can draw charts, figures and illustrations directly within a question, not just phrase text questions.
Yes — every generated question is automatically tagged against Bloom’s Taxonomy (Remember, Understand, Apply, Analyze, Evaluate, Create), and setters can map syllabus coverage to that taxonomy when building a schema.
Upload a syllabus in the demo and see a tagged, ready-to-review question paper.