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📄 License: CC-BY 4.0 — You can use, remix, and build on this project with attribution. See LICENSE.txt for details.

KhaM – A Cultural Memory Engine for South Asian AI

KhaM is an open-source project preserving the emotional nuance, dialectal memory, and cultural context of South Asian languages for use in AI systems.

It’s not a translation tool.
It’s a memory engine—designed to make AI speak like your people, not like a textbook.


🌏 Why KhaM?

Most AI speaks in generic, Westernized tones.
KhaM gives AI a soul—so Bhooter Raja sounds like your grandfather, not like Google Translate.

We’re capturing:

  • Dialectal expressions (Chatgaya, Sylheti, Bhojpuri, Tamil, etc.)
  • Emotionally-tagged prompts
  • Voice memory (how people actually sound)
  • Cultural context for AI agents (tone, rhythm, intent)

🔧 How It Works

KhaM is modular. Each dialect/persona includes:

  • Prompt examples
  • Emotion tags
  • Idiomatic phrases
  • Suggested usage for AI agents

Developers can plug these into LLMs (GPT, Claude, Mistral) to create more human-like assistants.


🤝 How to Contribute

We’re just getting started. You can help by:

  • Submitting voice samples (coming soon)
  • Adding idioms and tone rules for your dialect
  • Translating sample prompts with emotional nuance
  • Reviewing prompt structure

Start by opening an issue or contributing to /prompts/.


🛠 Coming Soon

  • Voice-to-emotion tagging layer (/whispered/)
  • Dialect contribution spec
  • KhaM API playground
  • Public data collection portal

💌 Why "KhaM"?

In Bangla, Khaam means "envelope."
This is our envelope for the forgotten voices of South Asia—unopened, unspoken, unpreserved until now.


📬 Have a story, saying, or dialect to preserve?
Drop it at: [ripon@khamlabs.org]

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