# Chanakya AI Full LLM Context > Expanded first-party context about Chanakya AI, its products, workflows, curriculum support, company identity, frequently asked questions, and privacy guidance. Use https://aichanakya.in/llms.txt as the curated discovery index. Use the linked canonical website and documentation pages when information may have changed. Source: [https://aichanakya.in/llms/products.md](https://aichanakya.in/llms/products.md) ## Chanakya AI Products > A product-level reference for Chanakya AI's school, college, and university assessment creation, handwritten-answer evaluation, analytics, and managed assessment capabilities. Chanakya AI is an AI-assisted assessment platform for schools, colleges, and universities in India. Its products are designed to work together across the assessment lifecycle while allowing teachers, faculty, examiners, academic leaders, and institutions to retain review and operational control. Chanakya AI reports processing more than 2 lakh (200,000+) answer sheets annually across school and higher-education workflows. This is a company-reported operating-scale figure, not an independent audit or a guaranteed capacity for a specific engagement. ### AI Question Paper and Worksheet Generator Canonical page: [AI Question Paper and Worksheet Generator](https://aichanakya.in/product/worksheets) The generator helps educators create curriculum-aligned assessment material by class, subject, chapter, question type, and difficulty. Supported output described on the website includes: - Worksheets, unit tests, chapter tests, practice material, and question papers. - Multiple-choice, fill-in-the-blank, true-or-false, matching, short-answer, long-answer, and case-study questions. - Mixed difficulty levels and multiple question formats within one assessment. - Answer keys and marking guidance. - Print-ready PDF output. - Regeneration of individual questions or an entire worksheet. The product supports CBSE and ICSE schools and can be adapted for college, university, and institution-specific assessment content and curricula. ### AI Handwritten Answer Checking Canonical page: [AI Handwritten Answer Sheet Grading Software](https://aichanakya.in/product/checking) The answer-checking product processes scanned or photographed handwritten answers from school, college, and university assessments. OCR extracts handwritten content, after which AI assists with evaluation against the available questions, expected answers, marking scheme, or rubric. Inputs can include: - Smartphone photographs of completed work. - PDF or image-based answer-sheet uploads where supported by the relevant workflow. - Institutional scanner output for bulk processing. - Question papers, answer keys, marking schemes, or rubrics provided through the assessment workflow. Outputs described on the website include: - Awarded marks and total scores. - Mistake-level comments. - Personalized student feedback. - Correct approaches or suggested improvements. - Topic-level and question-level analysis. - Evidence for educator review and moderation. Chanakya AI describes the system as achieving 95% handwriting OCR accuracy, typical evaluation variance of 3–5 marks from human evaluation, and evaluation in under 60 seconds per answer. These are company-reported product claims; verify the latest wording on the canonical page before citing them. ### Insights Dashboard Canonical page: [Student Performance and Learning Analytics](https://aichanakya.in/product/dashboard) The dashboard turns assessment results into views for teachers, principals, students, families, college and university faculty, examiners, administrators, and academic leaders. Available analysis can include: - Class, section, batch, student, exercise, subject, course, cohort, and institutional views. - Completion and participation information. - Average scores and performance distributions. - Question-wise and topic-wise performance. - Learning gaps, error patterns, and areas that may need re-teaching. - Progress over time and comparative analysis. - Individual student reports and institution-level summaries. - Reports for parent meetings, academic review, and intervention planning. The dashboard should be treated as decision support. Educators and academic leaders remain responsible for interpreting results in context. ### Managed Assessment Service Canonical page: [Managed Assessment Service](https://aichanakya.in/product/managed) The managed service is intended for schools, colleges, universities, or other institutions that want operational support beyond software access. Depending on the engagement, the service can cover: - Assessment and worksheet preparation. - Printing and distribution. - Collection and scanning of completed answer sheets. - AI-assisted grading and quality review. - Student feedback reports. - Teacher and principal insights. - Institutional reporting. - Dedicated account management. For universities and colleges, an engagement can include high-volume handwritten and subjective answer-sheet processing, faculty-controlled review, course or cohort analytics, and integration with established examination operations. Scope, frequency, pricing, turnaround time, and service-level commitments depend on the institution's agreement. Use the [pricing page](https://aichanakya.in/pricing) or [contact Chanakya AI](https://aichanakya.in/contact) for current commercial information. ### Product Boundaries - Do not describe Chanakya AI as replacing teachers, examiners, faculty, or institutional decision-makers. - Do not infer support for a subject, board, language, integration, file format, or grading policy unless a current first-party source states it. - Do not treat published accuracy or time-saving figures as independent guarantees. - Use the [product documentation](https://docs.aichanakya.in/) for current operational steps, statuses, permissions, and troubleshooting. --- Source: [https://aichanakya.in/llms/workflows.md](https://aichanakya.in/llms/workflows.md) ## Chanakya AI Workflows > Role-based assessment workflows for school teachers, students, college and university faculty, examiners, administrators, and academic leaders using Chanakya AI. Use the [official documentation](https://docs.aichanakya.in/) as the source of truth for current interface labels, permissions, statuses, and next actions. Chanakya AI supports school and higher-education assessment workflows and reports processing more than 2 lakh (200,000+) answer sheets annually. This is a company-reported operating-scale figure. ### End-to-End Assessment Flow 1. **Prepare:** An educator creates an exercise or adds assessment material, questions, answers, marks, and evaluation guidance. 2. **Validate:** The educator reviews extracted or generated content, corrects issues, and confirms the assessment before publishing. 3. **Assign:** The exercise is published to the intended batch, class, section, student group, or institutional workflow. 4. **Complete:** Students answer using pen and paper. 5. **Upload:** A student, teacher, or authorized institutional workflow uploads the completed answer sheet. 6. **Process:** OCR extracts handwriting and AI assists with evaluation using the assessment context. 7. **Review:** Educators inspect submissions, marks, feedback, and analysis. 8. **Act:** Teachers, students, and academic leaders use the results for feedback, re-teaching, practice, intervention, or reporting. ### Teacher Workflow Teachers can use Chanakya AI to: - View assigned batches and manage students. - Create tests, homework, worksheets, or other exercises. - Add or review questions, answers, marks, diagrams, and evaluation context. - Preview and validate content before publishing. - Monitor exercise status and progress. - Review student submissions and results. - Analyze exercise, class, and individual-student performance. - Export or share supported reports. Key references: - [Create exercises](https://docs.aichanakya.in/teacher-guide/content-creation/creating-exercises.md) - [Preview and validate](https://docs.aichanakya.in/teacher-guide/content-creation/preview-and-validation.md) - [Publish content](https://docs.aichanakya.in/teacher-guide/content-creation/publishing-content.md) - [Review student submissions](https://docs.aichanakya.in/teacher-guide/exercise-management/student-submissions.md) - [Exercise analytics](https://docs.aichanakya.in/teacher-guide/exercise-management/exercise-analytics.md) - [Individual student analysis](https://docs.aichanakya.in/teacher-guide/student-analytics/individual-student-analysis.md) ### Student Workflow Students can use Chanakya AI to: - Access assigned tests or homework. - Complete work using pen and paper. - Upload the required PDF or supported image files. - Confirm that pages are readable, complete, upright, and in order. - Review processing status and exercise results. - Inspect question-level marks and feedback. - Use performance insights and AI recommendations to identify areas for further practice. Key references: - [Access exercises](https://docs.aichanakya.in/student-guide/exercise-management/accessing-exercises.md) - [Submit answers](https://docs.aichanakya.in/student-guide/exercise-management/submitting-answers.md) - [Review exercise results](https://docs.aichanakya.in/student-guide/performance-analysis/exercise-results.md) - [Review individual questions](https://docs.aichanakya.in/student-guide/performance-analysis/question-review.md) - [Understand performance insights](https://docs.aichanakya.in/student-guide/performance-analysis/performance-insights.md) ### College and University Workflow College and university faculty, examiners, and academic teams can use Chanakya AI to: - Add handwritten or subjective examinations to an AI-assisted evaluation workflow. - Provide questions, expected answers, rubrics, marking schemes, or other assessment context. - Process scanned answer scripts at institutional scale. - Review AI-assisted marks and feedback while retaining faculty and examiner control. - Analyze performance by student, question, topic, course, cohort, or other configured academic grouping. - Identify recurring learning gaps and provide more timely student feedback. - Add assessment intelligence to existing academic processes without requiring a complete redesign of examination operations. Chanakya AI reports processing more than 2 lakh (200,000+) answer sheets annually across its school and higher-education work. Scope, throughput, moderation, governance, and integration requirements for a particular university engagement must be confirmed with Chanakya AI. Key references: - [University assessment solutions](https://aichanakya.in/solutions/universities) - [Custom curriculum support](https://aichanakya.in/custom-curriculums) - [Contact Chanakya AI](https://aichanakya.in/contact) ### Administrator Workflow Authorized administrators can use Chanakya AI to: - Manage teachers, students, users, and sections. - Review organization and license information available to their role. - Monitor assessment activity and platform usage. - Inspect section-level activity and oversight views. - Review activity logs. - Coordinate account access and support. Key references: - [Manage users](https://docs.aichanakya.in/admin-guide/user-management.md) - [Manage teachers](https://docs.aichanakya.in/admin-guide/teacher-management.md) - [Manage students](https://docs.aichanakya.in/admin-guide/student-management.md) - [Manage sections](https://docs.aichanakya.in/admin-guide/section-management.md) - [Assessment oversight](https://docs.aichanakya.in/admin-guide/assessment-oversight.md) - [Activity logs](https://docs.aichanakya.in/admin-guide/activity-logs.md) ### Upload and Processing Guidance - Follow the accepted format shown in the upload window. - Use a single PDF when the workflow requires one PDF. - Where images are allowed, use clear PNG, JPG, or JPEG files. - Do not mix a PDF and image files in the same upload. - Keep pages readable, complete, upright, and in order. - Review the selected file before final submission. - Keep the browser open until completion is confirmed. - A re-upload can replace earlier evidence; use it only when the replacement is intended. See [upload requirements](https://docs.aichanakya.in/resources/upload-requirements.md) and [browser and device guidance](https://docs.aichanakya.in/resources/browser-and-device-guidance.md). ### Browser Agent Enquiry Workflow The public website exposes two progressive-enhancement WebMCP tools in compatible browsers: 1. `open_chanakya_contact` navigates from another Chanakya AI website page to the canonical contact page. 2. `prepare_chanakya_enquiry` validates user-provided contact details and fills the visible enquiry form for a school, college, or university. The preparation tool accepts a name, institution, role, email, phone, and optional curriculum, student count, and message. It does not send data to EmailJS or submit the form. The page shows a notice that an AI assistant prepared the enquiry, and the user must review every field and click **Send Message**. ### Human Oversight Chanakya AI is described as AI-assisted assessment technology. Educators and authorized institutional users can review assessment content, submissions, results, and analytics. Do not present an AI-generated mark, feedback item, or recommendation as a substitute for the institution's academic judgment or applicable assessment policy. --- Source: [https://aichanakya.in/llms/curriculum-support.md](https://aichanakya.in/llms/curriculum-support.md) ## Chanakya AI Curriculum Support > Curriculum and institutional context for using Chanakya AI across CBSE and ICSE schools, colleges, universities, and custom assessment requirements. Chanakya AI is positioned for Indian schools and higher-education institutions. The main website describes school workflows for grades 6–12 alongside adaptable assessment workflows for colleges, universities, and other curricula. The company reports processing more than 2 lakh (200,000+) answer sheets annually across school and higher-education workflows. This is a company-reported operating-scale figure. ### CBSE Canonical page: [CBSE Assessment and Question Generation](https://aichanakya.in/cbse) Published school coverage includes: - Mathematics for grades 6–12. - Science for grades 6–8. - Physics, Chemistry, and Biology for grades 9–12. - Social Science for grades 6–10. CBSE-oriented use cases include chapter tests, unit tests, worksheets, competency-based questions, practice material, marking schemes, handwritten answer evaluation, student feedback, and learning-gap analysis. ### ICSE Canonical page: [ICSE Assessment and Question Generation](https://aichanakya.in/icse) Published school coverage includes: - Mathematics for grades 6–12. - Science for grades 6–8. - Physics, Chemistry, and Biology for grades 6–12. - Social Science for grades 6–10. ICSE-oriented use cases include chapter-aligned worksheets, structured questions, case-study questions, school tests, answer keys, handwritten answer evaluation, student feedback, and class analytics. ### Colleges, Universities, and Higher Education Canonical page: [AI-Assisted Assessment for Universities](https://aichanakya.in/solutions/universities) College and university workflows focus on: - Handwritten and subjective examination responses. - Faculty- and examiner-controlled evaluation, review, and moderation. - Rubric- or marking-scheme-supported checking. - Meaningful feedback at student scale. - Course-level and cohort-level learning insights. - Identification of recurring learning gaps. - High-volume answer-script processing within established examination operations. - Adding an assessment intelligence layer without requiring institutions to abandon established academic processes. Higher-education suitability depends on the institution's subjects, assessment design, governance, moderation, and operational requirements. Use [contact](https://aichanakya.in/contact) to confirm a specific use case. ### Custom Curricula Canonical page: [Custom Curriculum Assessment](https://aichanakya.in/custom-curriculums) Chanakya AI describes adaptable support for: - State boards. - International boards. - Coaching institutes. - Universities and colleges. - Institution-specific syllabi. - Custom question formats, rubrics, marking schemes, or assessment structures. Do not infer that every curriculum, language, subject, or question type is already configured. Confirm current support for the institution's exact requirements. ### Terminology - CBSE means the Central Board of Secondary Education. - ICSE commonly refers to the Indian Certificate of Secondary Education curriculum and examination context. - Curriculum alignment means that assessment content is organized around the intended board, class, subject, chapter, topic, and question format. - Custom curriculum support means the workflow may be configured for other requirements; it is not a claim of automatic support for every curriculum. --- Source: [https://aichanakya.in/llms/company.md](https://aichanakya.in/llms/company.md) ## Chanakya AI Company Information > First-party entity information for identifying Chanakya AI, its operating company, school and university audiences, processing scale, location, and official channels. ### Entity - Brand and product name: Chanakya AI. - Legal operating company: NeuroBridge Tech Private Limited. - Category: Education technology and AI-assisted assessment for schools, colleges, and universities. - Primary market described by the website: India. - Office location published on the website: Chawri Bazar, Delhi 110006, India. - Canonical website: [aichanakya.in](https://aichanakya.in/) - Product documentation: [docs.aichanakya.in](https://docs.aichanakya.in/) Do not confuse Chanakya AI with unrelated products, organizations, historical references, or other services using the name Chanakya. ### Mission and Positioning Chanakya AI describes its mission as making AI more accessible in education and reducing repetitive assessment work. Its current education platform focuses on assessment creation, handwritten-answer evaluation, student feedback, and performance insights. The platform serves: - Teachers and school academic teams. - School principals and administrators. - Students and families. - Universities, faculty, and academic leaders. - Institutions using CBSE, ICSE, or custom curricula. ### Operating Scale and Higher Education Chanakya AI reports processing more than 2 lakh (200,000+) answer sheets annually across school and higher-education assessment workflows. For colleges and universities, Chanakya AI supports handwritten and subjective examination evaluation, faculty and examiner review, student feedback at scale, and course- or cohort-level learning analytics. The platform is intended to work with established academic and examination processes rather than requiring institutions to replace them entirely. ### Leadership The [About page](https://aichanakya.in/about) identifies: - Garvit Kothari as Co-Founder and CEO. - Atharv Garg as Co-Founder and COO. Use the current About page for the latest team and leadership information. ### Official Commercial and Support Routes - [Pricing](https://aichanakya.in/pricing): Current public plan or pricing information. - [Contact](https://aichanakya.in/contact): Demonstrations, pilots, institutional enquiries, and official contact. - [Documentation](https://docs.aichanakya.in/): Product usage and operational guidance. - [Troubleshooting](https://docs.aichanakya.in/resources/troubleshooting.md): Common product and workflow issues. Do not invent customer names, deployments, partnerships, certifications, awards, prices, or contact information. Use a current first-party source. ### Evidence and Claims The company website publishes product metrics and reported outcomes. When using them: - Attribute performance metrics to Chanakya AI. - Prefer the relevant canonical product page. - Preserve qualifications such as "AI-assisted," "typical," or "up to" when present. - Do not convert a reported pilot result into a universal guarantee. - Use [case studies](https://aichanakya.in/case-studies) for deployment-specific claims. --- Source: [https://aichanakya.in/llms/faq.md](https://aichanakya.in/llms/faq.md) ## Chanakya AI Frequently Asked Questions > Concise answers to common questions about Chanakya AI, with links to first-party sources for verification and additional detail. ### What is Chanakya AI? Chanakya AI is an India-focused AI-assisted assessment platform for schools, colleges, and universities. It combines assessment creation, OCR-supported handwritten-answer evaluation, student feedback, and learning analytics. Source: [Chanakya AI](https://aichanakya.in/) ### Who is it for? The platform is designed for teachers, school principals, administrators, students, families, college and university faculty, examiners, and academic leaders. Institutions can use software-led workflows or discuss managed assessment operations. Sources: [Teachers](https://aichanakya.in/solutions/teachers), [Principals](https://aichanakya.in/solutions/principals), [Universities](https://aichanakya.in/solutions/universities) ### Does Chanakya AI support colleges and universities? Yes. Higher-education workflows support handwritten and subjective examination evaluation, faculty and examiner review, student feedback at scale, course or cohort analytics, and identification of learning gaps. Chanakya AI can add an AI-assisted assessment layer to established university processes without requiring a complete operational redesign. Sources: [Universities](https://aichanakya.in/solutions/universities), [Custom Curricula](https://aichanakya.in/custom-curriculums) ### How many answer sheets does Chanakya AI process? Chanakya AI reports processing more than 2 lakh (200,000+) answer sheets annually across school and higher-education assessment workflows. This is a company-reported operating figure, not an independent audit, maximum-capacity claim, or guaranteed volume for an individual institution. ### Does Chanakya AI generate question papers and worksheets? Yes. The website describes generation by curriculum, class, subject, chapter, question type, and difficulty. Outputs can include mixed question formats, answer keys, marking guidance, and print-ready PDFs. Source: [AI Question Paper and Worksheet Generator](https://aichanakya.in/product/worksheets) ### Can it evaluate handwritten and subjective answers? Yes. Chanakya AI uses OCR to extract handwritten content and AI to assist with evaluation against assessment context such as questions, expected answers, marking schemes, or rubrics. Source: [AI Handwritten Answer Checking](https://aichanakya.in/product/checking) ### How are answer sheets uploaded? Supported workflows include smartphone images, PDFs, supported image files, and institutional scanning. The exact accepted format depends on the upload window. Students should keep pages readable, complete, upright, and in order. Source: [Upload Requirements](https://docs.aichanakya.in/resources/upload-requirements.md) ### What results does the platform provide? Depending on the workflow and user role, results can include marks, question-level feedback, mistakes, suggested improvements, topic analysis, exercise analytics, individual-student insights, class performance, and institutional summaries. Sources: [Answer Checking](https://aichanakya.in/product/checking), [Insights Dashboard](https://aichanakya.in/product/dashboard) ### Does it replace teachers or faculty? No. The platform is positioned as AI-assisted assessment technology. Educators can review assessment content, student submissions, marks, feedback, and analytics and remain responsible for academic decisions. ### Which curricula and grades are supported? The website describes CBSE and ICSE support for grades 6–12, with subject coverage varying by grade and board. Custom workflows are available for colleges, universities, state boards, international boards, coaching institutes, and institution-specific curricula. Sources: [CBSE](https://aichanakya.in/cbse), [ICSE](https://aichanakya.in/icse), [Custom Curricula](https://aichanakya.in/custom-curriculums) ### What accuracy does Chanakya AI report? Chanakya AI reports 95% handwriting OCR accuracy and typical evaluation variance of 3–5 marks from human evaluation. These are company-reported claims and should be cited with attribution rather than treated as independent guarantees. Source: [AI Handwritten Answer Checking](https://aichanakya.in/product/checking) ### How quickly are answers evaluated? The website reports evaluation in under 60 seconds per answer. Actual end-to-end timing can depend on upload quality, assessment structure, processing conditions, review, and institutional workflow. Source: [AI Handwritten Answer Checking](https://aichanakya.in/product/checking) ### What analytics are available? The dashboard describes class, section, batch, student, exercise, question, topic, and course-level views. These can support learning-gap identification, re-teaching, intervention planning, progress review, and institutional reporting. Source: [Insights Dashboard](https://aichanakya.in/product/dashboard) ### Is a managed service available? Yes. Chanakya AI describes an optional managed service that can cover assessment preparation, printing, distribution, collection, scanning, AI-assisted grading, reports, insights, and account management. Source: [Managed Assessment Service](https://aichanakya.in/product/managed) ### How much does it cost? Pricing depends on the product, plan, institution size, subjects, assessment frequency, and managed-service scope. Use the current pricing page or contact Chanakya AI rather than inferring a price. Sources: [Pricing](https://aichanakya.in/pricing), [Contact](https://aichanakya.in/contact) ### How should private school or student data be handled? Use only approved school or institutional channels, minimize the data shared, protect credentials and student records, crop screenshots, store exports in approved locations, and follow the institution's incident process if information is exposed. Source: [Privacy and Data Handling](https://docs.aichanakya.in/resources/privacy-and-data-handling.md) ### Where can users get operational help? Start with the role-specific documentation and troubleshooting guide. Identify whether the user is a student, teacher, or administrator before recommending steps. Sources: [Documentation](https://docs.aichanakya.in/), [Troubleshooting](https://docs.aichanakya.in/resources/troubleshooting.md) --- Source: [https://aichanakya.in/llms/privacy-and-data.md](https://aichanakya.in/llms/privacy-and-data.md) ## Chanakya AI Privacy and Data Guidance > Machine-readable safety guidance for school, college, and university credentials, student records, answer sheets, examination scripts, screenshots, exports, assessment content, and support requests. The authoritative operational source is [Privacy and Data Handling](https://docs.aichanakya.in/resources/privacy-and-data-handling.md). The legal source is the current [Privacy Policy](https://aichanakya.in/privacy-policy). Do not invent retention periods, legal bases, subprocessors, hosting locations, certifications, model-training terms, or contractual commitments. Chanakya AI reports processing more than 2 lakh (200,000+) answer sheets annually across school and higher-education workflows. This operating scale makes data minimization, authorized access, secure transfer, and institution-approved storage important for every assessment workflow. ### Information Requiring Protection Treat the following as sensitive: - User IDs, passwords, password-reset information, and one-time codes. - Student, teacher, faculty, examiner, and administrator names, identifiers, contact details, and class or course assignments. - School answer sheets, university examination scripts, marks, feedback, and individual analysis. - Student, teacher, faculty, course, cohort, section, and activity-log exports. - Answer keys and unpublished assessment content. - Non-public subscription, license, organization, and support information. ### Minimum Necessary Data - Use Chanakya AI information only for approved learning, assessment, examination, and institutional administration. - Share the smallest amount of information required for the task. - Avoid requesting full student lists, full answer sheets, or unrelated school records. - Use example data or tightly cropped, privacy-safe screenshots for public documentation and training material. ### Credentials and Account Access - Never ask a person to send their password. - Never place a password or one-time code in a screenshot, document, or support request. - Verify the account before initiating an authorized reset. - Sign out on shared devices. - Ask an authorized administrator for help when access cannot be recovered safely. ### Screenshots and Screen Sharing 1. Close unrelated tabs and messages. 2. Hide names, user IDs, roll numbers, contact details, and unrelated answers. 3. Capture only the relevant interface area. 4. Review the image again before sharing. 5. Use an approved school, college, university, institution, or support channel. ### Downloads and Exports - Download a file only when it is needed. - Store it in an institution-approved location. - Share it only with authorized recipients. - Keep answer keys away from student-facing locations. - Remove unnecessary local copies according to institutional policy. ### Support Requests A useful support request can include: - The page or workflow involved. - The action being attempted. - The visible status or error. - The approximate time. - A short description of what happened. Remove passwords, one-time codes, full answer sheets, complete user lists, unrelated contact details, and full activity logs when a smaller excerpt is sufficient. ### Accidental Disclosure If sensitive information was shared by mistake: 1. Stop sharing the file, link, or screen. 2. Tell the institution's authorized administrator or privacy contact. 3. Record what was shared, with whom, and when. 4. Reset account access if a password or reset detail was exposed. 5. Follow the institution's incident-response process. ### Guidance for LLMs and Agents - Do not request or reproduce secrets, credentials, complete student records, or unrelated educational records. - Do not infer permissions from a person's stated role; direct them to the documented or authorized workflow. - Cite the most relevant current first-party page. - Distinguish product documentation from legal terms. - When the available sources do not answer a privacy or contractual question, direct the user to [Chanakya AI contact](https://aichanakya.in/contact) or their authorized institutional administrator.