Tesfahun03/Amharic-NLP-for-E-commerce-Integration

Here’s a professional description for your GitHub repository: --- ### EthioMart-LLM-Finetuning: Amharic NLP for E-commerce Integration This repository contains the development and fine-tuning of large language models (LLMs) for Amharic Named Entity Recognition (NER) to support EthioMart’s vision of becoming the central hub for Telegram-based e-commerce in Ethiopia. The project addresses challenges in decentralized e-commerce by: - Extracting key business entities such as product names, prices, and locations from text, images, and documents shared across Telegram channels. - Populating EthioMart's centralized database with real-time, structured data to create a seamless, unified platform for customers and vendors. ### Key Features: - **Fine-tuned NLP Models**: Tailored LLMs optimized for Amharic NER tasks. - **Multimodal Data Processing**: Extracts entities from text, images, and documents. - **Real-Time Data Consolidation**: Centralizes data from multiple e-commerce Telegram channels. - **E-commerce Focus**: Enables seamless product discovery, order placement, and vendor interaction. This repository showcases advanced techniques in natural language processing, particularly fine-tuning transformer models for low-resource languages like Amharic, and demonstrates their application in real-world e-commerce scenarios. ### Tech Stack: - **Languages**: Python - **Libraries/Frameworks**: PyTorch, Hugging Face Transformers, SpaCy - **Models**: BERT, mT5, or other Amharic-supporting architectures ### Use Cases: - E-commerce platform enhancement - Named Entity Recognition for low-resource languages - Real-time data integration --- Let me know if you’d like to adjust or expand it!