[SMM4H] COVID-19-related Nepali Tweets Classification in a Low Resource Setting

Extractive Nepali Question Answering System | Browser Extension & Web Application

This project explores the application of various Language Learning Models (LLMs) for processing and understanding Sanskrit texts. We evaluate models like MuRIL, BERT, SanBERT, and ByT5 to analyze their efficiency in handling the complexities of Sanskrit through fertility score metrics.

AI-powered multilingual occupational coding system with semantic embeddings, cultural context, and adaptive learning.

This project detects abusive and non-abusive comments in Malayalm Language using the MuRIL Bert model and compares its performance with TF-IDF + SVM and XGBoost. MuRIL outperforms classical models.

FAQ Search Application using multilingual sentence transformer model.

This repository contains Python implementations for processing multilingual text data, focusing on language classification and translation tasks. The project addresses two distinct tasks: language classification and English translation, each involving different complexities in the processing of text data.

BhojRAG is a research-grade hybrid Retrieval-Augmented Generation system for unstandardized low-resource Indic languages, designed to improve retrieval and grounded generation for Bhojpuri using character n-gram BM25, fine-tuned MuRIL embeddings, and Reciprocal Rank Fusion.