This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-5.

DravidaKavacham is an open-source tool for detecting abusive content in Dravidian (Tamil and Malayalam), focused on harmful language targeting women. Developed as part of the DravidianLangTech@NAACL 2025 shared task, it uses NLP and machine learning for accurate text classification and content analysis.

Implementation of Dense Fusion Network with Multimodal Residual (DFMR) for Multi-modal Sentiment Analysis(MSA) in native Indian Languages like Malayalam by integrating Multi-modal information from Multimedia. The model processes the textual, visual, and auditory modalities of the video to classify the sentiment into five categories.

EACL 2021 paper (SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification)