CodegnanITSolutions/whisper-large-v3-telugu-callcenter
Automatic Speech Recognition • Updated • 31 • 2
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Codegnan IT Solutions
**Building and running self-hosted AI for Indian languages **
🌐 Website · 💼 LinkedIn · ✉️ [CONTACT_EMAIL]
About us
Codegnan IT Solutions builds, deploys, and operates AI systems on our own infrastructure, using open-weight models. Our focus is practical AI for Indian users: Telugu and other Indic languages, real-world audio, and production reliability over demos.
We also run AI training programs for students, professionals, and business teams.
What we work on
| Area | Focus |
|---|---|
| 🎙️ Indic speech | Speech-to-text for Telugu and other Indian languages, including noisy phone-call audio |
| 🗣️ Voice agents | Conversational AI agents that speak naturally in Indian languages |
| 📄 Document intelligence | OCR and document reconstruction for English and Indic scripts |
| 🧠 LLM operations | Serving, monitoring, and governing self-hosted open-weight LLMs |
| 💼 AI hiring | — resume matching, ATS analysis, quizzes, and AI interviews |
| 🎓 Training | Claude and AI bootcamps for business professionals and developers |
How we work
- Self-hosted first — models run on our own GPUs; data stays in-house.
- Open-weight models — we credit and respect the licenses of the models we build on.
- Indic-first — every system is tested on Indian languages, not just English.
- Measured, not assumed — we publish numbers only when we have benchmarked them.
What you'll find here
| Type | Status |
|---|---|
| 🤖 Models | Coming soon |
| 📊 Datasets | Coming soon |
| 🚀 Spaces | Coming soon |
For members
- Create repos private by default; make them public only after review.
- Never upload customer data, call recordings, API keys, or
.envfiles. - Every public model or dataset needs a card with its license and the base model it builds on.
- Naming:
[area]-[project]-[version]— e.g.speech-telugu-stt-v1.
© Codegnan IT Solutions
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