Opensourceforଓଡ଼ିଆ.
A growing constellation of tools, libraries, and resources making the Odia language a first-class citizen in modern AI and software.
Three pillars.
Education, tooling, and community — coming together for Odia.
Featured videos
From the @openodia channel.
Community contributors
Building Odia AI together — from across the community.
Frequently asked questions
Everything you need to know about OpenOdia and the Odia AI ecosystem.
What is OpenOdia?
OpenOdia is a hub for Odia language open-source — a growing collection of tools, libraries, and resources making Odia a first-class citizen in modern AI and software. It spans a YouTube channel (@openodia), a Python package on PyPI, and the Awesome-Odia-AI directory.
How can I contribute to Odia AI?
You can contribute by joining the odisha-ml GitHub organization, submitting tools to Awesome-Odia-AI, publishing Odia-language Python packages to PyPI, creating tutorial content for @openodia, or participating in OdishaAI community events.
What Odia language AI tools exist?
Over 60 tools and resources are listed in the Awesome-Odia-AI directory — including speech recognition (STT), text-to-speech (TTS), datasets, fine-tuned LLMs, transliteration libraries, and NLP toolkits. Browse them at openodia.com/tools.
Who maintains OpenOdia?
OpenOdia is built and maintained by Soumendra Kumar Sahoo, an observability engineer at PepsiCo. It is part of the broader OdishaAI community initiative uniting Odias in AI/ML globally.
Where can I learn Odia NLP?
The @openodia YouTube channel features tutorials in both Odia and English covering AI, NLP, and language technology. The tutorials page lists all available playlists and videos organized by channel.
Is OpenOdia open source?
Yes. All code is open source under the MIT license. The website itself is on GitHub at github.com/soumendrak/openodia-hub and welcomes contributions.
What is the OpenOdia Python package?
The openodia PyPI package provides practical tools for Odia language processing — transliteration, text normalization, and language detection utilities. Install it with 'pip install openodia'.