lilitbeglaryan/YSU_NLP_RAG
Retrieval-Augmented Generation (RAG) system for QA on Armenian Labor Law
A modular Retrieval-Augmented Generation (RAG) system designed for Question Answering on Armenian Labor Law documents. It includes preprocessing, indexing, retrieval, and inference modules, with a focus on handling the specifics of Armenian legal text.
AI Legal Armenia is a legal assistance chatbot platform for Armenian law, built with React/TypeScript and AI integrat...
A Retrieval-Augmented Generation (RAG) system designed to answer questions about Armenian Labor Law in Armenian. It i...
A TypeScript/React web application for studying Armenian traffic laws (PDD). It's a practice test interface with mult...
An Armenian-language voice assistant pipeline that handles speech-to-text, intent matching against an FAQ, knowledge-...
An interactive data visualization project built with React/TypeScript/Vite that explores Armenia's IT labor market tr...
A project to create a bilingual Western Armenian-English large language model using QLoRA fine-tuning on Qwen 2.5 1.5...