> For the complete documentation index, see [llms.txt](https://sunbird.gitbook.io/sunbird-spark/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://sunbird.gitbook.io/sunbird-spark/learn/roadmap.md). # Roadmap Sunbird Spark Roadmap (last updated: Sep 2026) The Sunbird Spark roadmap for the next few quarters focuses on adding further depth on personalisation and AI. The areas of immediate focus are: * AI pipeline for Content enrichment - Auto-captioning for videos, transcript generation, translation etc. * Competency Framework Support * Assessment enhancements and support for international standards such as QTI * AI-led personalised learning Other roadmap items cover the following areas, and will be executed in a planned, demand-led fashion so as to factor in needs of adopters and partners: * Auto-adjustment of the learner flow based on their performance * Personalisation engine for dynamic content recommendations * AI-based personalised Learning assistant * AI based generation of assessments - based on a topic/ pdf/ video as an input * AI powered unstructured learning paths * AI-led multi-language translation (Real-time AI translation of course content and assessments into regional languages, enabling rapid localization without manual translation workflows) * AI-assisted Course creation * iOS consumption app for Spark --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://sunbird.gitbook.io/sunbird-spark/learn/roadmap.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.