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README.md

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-# HillByte
+[HillByte Logo](https://huggingface.co/hillbyte/resolve/main/assets/hillbyte.png)
 
-**Building AI for languages, communities, and real-world applications.**
+Building AI research and real world technology for underrepresented languages and communities.
 
-HillByte is an AI and technology company focused on developing practical, high-quality artificial intelligence solutions and advancing language technology for underrepresented languages and communities.
+We develop and deploy AI models and intelligent systems for the Mizo language and other low resource language environments, spanning machine translation, embeddings, speech AI, OCR, and language models. Our work connects AI research with practical, production ready applications.
 
-Our work spans **AI research, language models, machine translation, embeddings, speech technologies, intelligent applications, AI education, and community-focused digital services**.
-
-## Our Mission
-
-We believe that access to advanced AI should not be limited by the size of a language or community.
-
-HillByte works to develop technology that helps bring **underrepresented languages into the modern AI ecosystem**, while building practical AI systems that address real-world needs in education, public information, employment, and community services.
-
-## Our Focus Areas
-
-### 🌐 Machine Translation
-
-We develop and research machine translation systems with a focus on improving translation quality for **Mizo and other low-resource language scenarios**.
-
-Our work includes:
-
-* Neural machine translation
-* Large-scale parallel data development
-* Synthetic data generation
-* Knowledge distillation
-* Efficient student models for practical deployment
-* Translation evaluation and benchmarking
-
-### 🧠 Language Models
-
-We explore efficient language models and AI systems that can better understand and work with low-resource languages.
-
-Our research includes:
-
-* Language model adaptation
-* Instruction tuning
-* Knowledge distillation
-* Multilingual AI
-* Efficient and deployable models
-* Domain-specific AI assistants
-
-### 🔎 Embeddings & Semantic AI
-
-We develop embedding models and semantic technologies for better language understanding and information retrieval.
-
-Areas of interest include:
-
-* Multilingual embeddings
-* Semantic search
-* Retrieval systems
-* RAG applications
-* Low-resource language representations
-* Knowledge-base question answering
-
-### 🎙️ Speech Technology
-
-We are interested in advancing speech technologies for underrepresented languages, including:
-
-* Automatic Speech Recognition (ASR)
-* Text-to-Speech (TTS)
-* Speech datasets
-* Speech evaluation
-* Spoken language AI
-
-### 💬 WhatsApp-Based AI Assistants
-
-We build accessible AI services through WhatsApp, helping people use AI through a familiar and widely available communication platform.
-
-Our projects include:
-
-#### ExamCoach
-
-**ExamCoach** is a WhatsApp-based AI assistant designed for **Mizoram Government job aspirants**.
-
-It aims to support learners and candidates with accessible study assistance, exam preparation resources, practice questions, explanations, and other educational guidance through WhatsApp.
-
-#### Mizoram Assembly AI
-
-**Mizoram Assembly AI** is a WhatsApp-based chatbot designed to make information related to the Mizoram Legislative Assembly more accessible.
-
-The project explores how conversational AI can help users discover, understand, and interact with public information through a simple messaging interface.
-
-### 📚 Datasets & Research
-
-High-quality data is essential for advancing AI in low-resource languages.
-
-We work on developing and sharing resources that may include:
-
-* Parallel translation datasets
-* Instruction datasets
-* Language datasets
-* Evaluation benchmarks
-* Speech datasets
-* AI research resources
-* Domain-specific knowledge bases
-
-### 🎓 AI Training & Capacity Building
-
-In addition to building AI systems, HillByte conducts training programs and workshops to help individuals and organizations understand and use artificial intelligence effectively.
-
-Our training activities may cover:
-
-* AI fundamentals
-* Generative AI
-* Large language models
-* Prompt engineering
-* Responsible AI
-* AI tools and productivity
-* Practical AI applications
-* Machine learning concepts
-* AI for education and public services
-
-Through these programs, we aim to strengthen local AI awareness, skills, and capacity across Mizoram and beyond.
-
-## Mizo Language Technology
-
-One of our major areas of focus is advancing AI capabilities for the **Mizo language**.
-
-While general-purpose AI systems are increasingly capable of supporting many languages, significant opportunities remain to improve quality, reliability, cultural understanding, and task-specific performance for low-resource languages.
-
-HillByte is working toward building stronger foundations for **Mizo language AI**, including translation, language understanding, embeddings, speech technology, conversational systems, and future AI applications.
-
-## AI for Communities and Public Services
-
-We believe AI can be especially valuable when it is designed around the needs of local communities.
-
-Our work explores practical applications of AI in areas such as:
-
-* Education and exam preparation
-* Public information access
-* Government and civic services
-* Language preservation and accessibility
-* Community knowledge systems
-* Digital inclusion
-
-By combining research with real-world deployment, we aim to make AI more useful, accessible, and relevant to the people it serves.
-
-## Open Research & Collaboration
-
-Through Hugging Face, we aim to share selected models, datasets, experiments, and research resources with the wider AI community.
-
-We welcome collaboration with:
-
-* Researchers
-* Developers
-* Universities
-* Language communities
-* Government and public institutions
-* AI organizations
-* Educators and trainers
-* Contributors working on low-resource languages
-
-## What You May Find Here
-
-This organization may publish:
-
-* 🤖 Machine learning models
-* 🌐 Translation models
-* 🔎 Embedding models
-* 📊 Datasets
-* 🧪 Research experiments
-* 📏 Evaluation benchmarks
-* 🗣️ Speech technology resources
-* 💬 Conversational AI resources
-* 📚 Educational and training materials
-
-## Responsible AI
-
-We believe AI development should be responsible, transparent, and useful to the communities it serves.
-
-Our work aims to prioritize:
-
-* Language quality
-* Cultural awareness
-* Data quality
-* Responsible dataset development
-* Transparent evaluation
-* Practical deployment
-* User privacy and security
-* Human oversight
-* Clear communication of system limitations
-
-## About HillByte
-
-HillByte builds AI technologies and intelligent digital solutions with a focus on practical impact and innovation.
-
-Our work includes AI research, Mizo language technology, WhatsApp-based chatbots such as ExamCoach and Mizoram Assembly AI, and training programs that help individuals and organizations understand and apply AI.
-
-Our long-term vision is to contribute to a future where **every language and community can participate meaningfully in the AI ecosystem**.
+[**Website**](https://www.hillbyte.com/) ([image](https://img.shields.io/badge/Website-hillbyte.com-00B050?style=for-the-badge)) [**HuggingFace**](https://huggingface.co/hillbyte) ([image](https://img.shields.io/badge/Models-HillByte-00B050?style=for-the-badge&logo=huggingface&logoColor=white))
 
 ---
 
-**Website:** [https://www.hillbyte.com](https://www.hillbyte.com)
-
-**Hugging Face:** [https://huggingface.co/hillbyte](https://huggingface.co/hillbyte)
-
-*Building AI beyond language barriers.*
+[**Mizo NLP**](https://huggingface.co/hillbyte#) ([image](https://img.shields.io/badge/Mizo_NLP-Language_AI-1a1a1a?style=for-the-badge)) [**Translation & Embeddings**](https://huggingface.co/hillbyte#) ([image](https://img.shields.io/badge/Translation_&_Embeddings-Multilingual-555555?style=for-the-badge)) [**Speech & Vision**](https://huggingface.co/hillbyte#) ([image](https://img.shields.io/badge/Speech_&_Vision-OCR_%7C_ASR_%7C_TTS-333333?style=for-the-badge))