Sanskruti AI : Rediscovering Indian Culture Using Artificial Intelligence

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This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2026 | Volume : 16 | 02 | Page :
    By

    Atharva Rahul Vibhandik,

  • Rishabh Santosh Jagtap,

  • Dhaval Sunil Nayee,

  • Tejas Jagannath Shinde,

  • Ms Swati Pandurang Baviskar,

  1. Student, Artificial Intelligence and Data Science, JESITMR, Nashik, , India
  2. Student, Artificial Intelligence and Data Science, JESITMR, Nashik, , India
  3. Student, Artificial Intelligence and Data Science, JESITMR, Nashik, , India
  4. Student, Artificial Intelligence and Data Science, JESITMR, Nashik, , India
  5. Assistant Professor, Artificial Intelligence and Data Science, JESITMR, Nashik, , India

Abstract

Away from old ways, many young people in India now find customs hard to reach, losing touch with sacred texts, local traditions, and deeper beliefs. Into this space steps Sanskruti AI – an intelligent tool using sound, text, and vision to bring culture closer, tailored to how today & users think and feel. Instead of flat translations, it unpacks verses from Sanskrit with layers: word-for-word sense, background context, inner meaning. Hidden beneath is smart language tech guided by pattern recognition, pulling accurate interpretations on demand. Running quietly in the backend, a Festival Intelligence Engine tracks 670+ forms of celebrations, linking place, time, sky movements, stories passed down. When someone shows interest, the system suggests tales rooted in identity, shaped by what they say or ask. Tiny lessons form automatically in several languages, explaining core ideas without clutter. Speak questions aloud, responses come back spoken too, thanks to speech tools trained on Indian tongues. Underpinning everything, a living map grows richer each query, connecting regions to rituals via deep cultural links. Most tests show 94% accuracy in translating shloka meaning, along with user interaction rising nearly fivefold versus fixed archives. What stands out is how Sanskruti AI builds on solid research to sustain, adapt, and breathe life into India’s living cultural traditions.

Keywords: Artificial Intelligence, Cultural Heritage, Natural Language Processing, Knowledge Graph, Indian Culture

How to cite this article:
Atharva Rahul Vibhandik, Rishabh Santosh Jagtap, Dhaval Sunil Nayee, Tejas Jagannath Shinde, Ms Swati Pandurang Baviskar. Sanskruti AI : Rediscovering Indian Culture Using Artificial Intelligence. OmniScience: A Multi-disciplinary Journal. 2026; 16(02):-.
How to cite this URL:
Atharva Rahul Vibhandik, Rishabh Santosh Jagtap, Dhaval Sunil Nayee, Tejas Jagannath Shinde, Ms Swati Pandurang Baviskar. Sanskruti AI : Rediscovering Indian Culture Using Artificial Intelligence. OmniScience: A Multi-disciplinary Journal. 2026; 16(02):-. Available from: https://journals.stmjournals.com/osmj/article=2026/view=246532


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Ahead of Print Subscription Review Article
Volume 16
02
Received 14/05/2026
Accepted 03/06/2026
Published 12/06/2026
Publication Time 29 Days
10

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