SIH26042: Al-Powered Vernacular Pedagogy and Real-Time Translation Tool for Mother Tongue- — SIH 2026 | Wynit

SIH26042: Al-Powered Vernacular Pedagogy and Real-Time Translation Tool for Mother Tongue- — SIH 2026 | Wynit

What they'll ask you

11

Generated from the brief's own wording and the competition's published rules, never from a guess about what this ministry prefers.

Specific NLP datasets or lexicons for Ho, Mundari, and Santhali?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Ui and UX design guidelines for primary school teachers?
The brief never answers this, so a panel will. Whatever you decide, say it the same way twice.
Has any part of this been shown at a previous event, hackathon or college project?
The guidelines are explicit: your solution must not have appeared in any previous event or programme, of any sort. A recycled project is what a team under time pressure reaches for.

8 morethe ones a panel gets to if there is time

The brief asks for nlp translation engine. How would you build that?
Decoded from SIH26042 itself: Translates Hindi foundational curriculum content into Ho, Mundari, and Santhali text and audio. The brief asks for it by name.
The brief asks for real-time voice translator. How would you build that?
Decoded from SIH26042 itself: Provides voice-to-voice translation between Hindi and tribal languages with under three seconds of latency. The brief asks for it by name.
The brief asks for worksheet generator. How would you build that?
Decoded from SIH26042 itself: Auto-generates bilingual worksheets and visual flashcards aligned with NIPUN Bharat outcomes. The brief asks for it by name.
The brief asks for offline storage module. How would you build that?
Decoded from SIH26042 itself: Enables the entire application to function without internet on low-cost Android tablets after initial sync. The brief asks for it by name.
Where does your data come from: a published source, one you collect, or one you generate?
No dataset is attached to this problem statement, so sourcing it is part of the work and nobody told you that.
Why not use what already exists? Name the closest thing to this that is already running.
A team that has not named the alternative themselves is answering this for the first time in the room.
Which single thing will you demonstrate end to end, start to finish, with nothing skipped?
Ours, not a rule: a narrow thing that fully works survives questioning better than a broad thing that half works. If nobody on the team can name it, that is the finding.
Show me this working: the evaluators will check if the software supports offline operation on low-end Android tablets, achieves voice translation latency under three seconds, and demonstrates accurate translation for at least one tribal language.
This is the evaluator read for your problem statement, decoded from the brief's own wording.

The government's original description (283 words)

Background: Jharkhand's PALASH Mother Tongue-Based Multilingual Education (MTB-MLE) programme has demonstrated measurable improvements in foundational literacy among tribal children. However,scaling the programme is severely bottlenecked by a shortage of teachers proficient in tribal languages including Ho, Mundari, and Santhali -languages with limited digital NLP resources. The vast majority of teachers assigned to tribal-area primary schools are Hindi-medium trained and lack the linguistic tools to deliver mother-tongue-based instruction. Without a technology bridge, the pedagogical intent of MTB-MLE cannot be realised at scale, and children in over 5,000 tribal-area primary schools continue to receive instruction in a language they do not comprehend at home. Description: Develop an Al-assisted translation and curriculum-generation software suite that enables non-nativespeaking primary school teachers to deliver mother-tongue-based instruction in Ho, Mundari, and Santhali without prior language training. The system must include an NLP engine capable of translating standard Hindi Foundational Literacy and Numeracy (FLN) curriculum content- including lesson scripts, activity instructions, and assessment prompts-into contextually accurate text and synthesised audio in target tribal languages. A real-time voice-to-voice translation feature must allow a teacher speaking Hindi to conduct interactive classroom dialogue with tribal-language-speaking students, with latency not exceeding three seconds. The system must auto-generate bilingual worksheets and visual flashcard sets aligned to the NIPUN Bharat learning outcomes framework.Given that most schools in the target deployment areas lack reliable internet, the entire application must function offline on low-cost tablets (?2 GB RAM, Android 9+) after initial content synchronisation. Expected Solution: A working software application demonstrating Hindi-to-tribal-language translation (minimum one tribal language at prototype stage), real-time voice translation with sub-3-second latency, autogenerated bilingual worksheet output, and full offline operation on a low-end Android tablet submitted with a demo video - and GitHub repository.