India Has More Stories Than Storytellers. AI Changes That Equation.

Five thousand years. That's how long India has been telling stories. From the 24,000 verses of the Ramayana to the oral traditions of the Kondh tribe in Odisha, from the Panchatantra's animal fables to the ghost stories whispered in Rajasthani havelis at dusk - the subcontinent holds within it a narrative universe so vast, so layered, so alive, that no single generation could ever fully explore it.

And yet, most of it remains untold.

Not because the stories aren't worthy. But because the pipeline is broken at every level - in how stories are written, how they're read, how they're heard, how they're seen, and crucially, how they're passed on. The writers are too few, the platforms too centralised, the language barriers too steep, and the tools too limited to let the stories of Manipur or Mizoram, of Chhattisgarh or the Andaman coast, find the audiences waiting for them.

Technology - applied thoughtfully, built responsibly - is about to change that. And at the centre of that shift is a vision called Project Bhaskar.

What Project Bhaskar Is Building

Project Bhaskar isn't simply a technology initiative. It's a cultural infrastructure project — one built on the belief that India's storytelling inheritance deserves tools equal to its scale.

Named for bhāskara - the Sanskrit word for light-giver - and an acronym for Bhartiya Sanskriti Kritrim Buddhimata Rachanshalaya, Studio Bhaskar's flagship initiative imagines a future where the full ecosystem of Indian storytelling - literature, film, oral tradition, language, performance - is supported by technology that amplifies rather than homogenises. Where a Santhali folk story can reach a reader in Pune. Where a first-generation Bhojpuri writer has the same tools as a Mumbai screenwriter. Where stories that would otherwise die with their last keeper are preserved, translated, and told across formats and generations.

We don't want to replace the storyteller. What we want to do is to multiply them, and to build every part of the infrastructure that multiplying storytellers requires. - Titash Neogi

The solutions being built are as layered as the problem. A reading app designed specifically for to bring back the practice of reading in Indian languages - with native-script rendering, audio narration in regional accents, and curated collections from living authors in smaller language communities to create the discovery infrastructure that English has long taken for granted. Beneath that sits a more fundamental layer: language APIs that handle speech-to-text in Maithili, real-time translation between Odia and Telugu, voice interfaces that understand the syntax of Tulu or the tonal patterns of Manipuri. These are the roads and bridges that allow stories to move at all. AI-assisted tools for screenwriters and filmmakers can. extend the same logic into the visual world - helping writers research obscure regional traditions, develop culturally grounded drafts, and adapt stories across languages without flattening what makes them specific.

But technology alone doesn't shift a culture. That's where events and sensitisation come in: storytelling festivals that put oral historians and data scientists in the same room, workshops that help artists approach AI as informed collaborators rather than passive users, and intergenerational gatherings that treat a grandmother's memory and a teenager's phone as equally valuable archival tools. Across all of it runs a shared principle - that the infrastructure should serve the story, not shape it; that a recommendation engine trained on Indian literary traditions will surface different, truer things than one trained on Western genre categories; and that every technical choice, from the texts a language model trains on to the voices a speech tool privileges, is also a cultural choice, with consequences for whose world gets reflected back and whose gets quietly left out.

The Responsibility Runs Through All of It

Across every front - apps, language infrastructure, film, events - the same ethical obligations apply.

Cultural fidelity means building on sources that are genuinely representative: not just the Sanskrit canon, but Baul poetry, Santhali oral traditions, Garo mythologies. It means involving cultural scholars and community elders in the curation of data, not just the deployment of tools.

Community consent means that stories belonging to specific communities, particularly Adivasi and other historically marginalised groups, cannot simply be extracted and monetised. Communities must hold rights over their own narratives, with revenue and recognition flowing back to the source.

Artistic integrity means that technology remains a collaborator, not a committee. The final voice must belong to a human artist who is accountable to their story, their community, and their craft.

These aren't constraints on the vision. They are the vision.

The Future That's Possible

Imagine a twelve-year-old in a small town in Bihar reading a story in Maithili about a folk hero her grandmother used to talk about, discovered through an app that actually knows what Maithili literature looks like. Imagine that story becoming a short film, written by a first-time screenwriter from that district, developed with AI tools that understood the cultural register of that tradition, streamed on a platform that paid the community whose story it tells.

That's not a utopia. That's a pipeline problem being solved at every layer, simultaneously.

India has always had more stories than storytellers. What it hasn't had is infrastructure that matches the imagination.

Project Bhaskar dreams of building that infrastructure. Across literature, language, film, and the living human networks that hold it all together.

Project Bhaskar is developing technology-driven tools and initiatives for storytelling across India. To follow Project Bhaskar's progress or collaborate, drop us a note on hello@adaptiv.me. Follow us Instagram and LinkedIn for updates about our initiatives, events and launches.