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README.md

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+## About
+The Odia Generative AI (in short, OdiaGenAI) is an initiative to research Generative AI and Large Language Models (LLMs) for the low-resource Odia language.
+
+## Objective
+The OdiaGenAI aims to 
+1. Build pre-trained Odia LLM, 
+2. Fine-tuned Odia LLM, and 
+3. Instruct LLM (Odia). 
+
+The data, code, and models will be available to the public for research and non-commercial purposes.  
+
+## Why OdiaGenAI
+
+* **First**: Though many LLMs support multilingual, including Odia language, the performance for various tasks (e.g., content generation, question-answering) is limited due to the amount of ingested data for Odia. 
+* **Second**: There is subscription or fees associated with the high-performing LLMs.
+
+* **Third**: The usage (privacy) and bias of data input to these LLMs are in question.
+
+## What are the focus research areas of OdiaGenAI
+We have divided the primary focus areas into three parts.
+
+**1. Literature Survey:** Investigate the latest developments in Generative AI and LLMs and analyze current methods to support the Odia language for different tasks. 
+
+**2. Development:** Developing pre-trained and fine-tuned Odia LLM, which includes dataset preparation, model training, evaluation, prompt engineering, and API development. 
+
+**3. Deployment:** Deploy the Odia LLM models for public access for research and non-commercial purposes.
+
+## Who can use OdiaGenAI LLMs
+The models (pre-trained/fine-tuned) will be available through Hugging Face for research and non-commercial purposes. Feel free to contact us for a domain-specific application or particular use cases. 
+
+## What are the use cases of OdiaGenAI LLMs
+There are several use cases of OdiaGenAI LLMs. Three primary domains relating to Odisha which we are focusing to use the developed LLM are:
+* Education
+* Healthcare
+* Governance
+* Tourism
+* Agriculture
+* Industrial Application
+
+## Contributors
+* [Shantipriya Parida](https://www.linkedin.com/in/shantipriya-parida-9781a9127/)
+* [Sambit Sekhar](https://www.linkedin.com/in/sambit-sekhar-ai/)
+* [Subhadarshi Panda](https://www.linkedin.com/in/subhadarshi-panda-1ba5091a/)
+* [Soumendra Kumar Sahoo](https://www.linkedin.com/in/soumendrak/)
+* [Swateek Jena](https://www.linkedin.com/in/swateek/)
+* [Abhijeet Parida](https://www.linkedin.com/in/a-parida/)
+* [Arghyadeep Sen](https://www.linkedin.com/in/arghyadeep-sen-kiit/)
+* [Dr. Satya Ranjan Dash](https://ksca.kiit.ac.in/profiles/satya-ranjan-dash/)