Software and Datasets for Mitigating Online Gender Based Violence in India
Final Project of the Data Science postgraduate class at MDCC/UFC
An evolving dataset corpus of Spanish song lyrics labeled for gender-based violence detection
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.
This repository contains the data analysis code, statistical models, and visualizations for the working paper: "Presentation Patterns of Gender-Based and Intrafamilial Violence During the First Three Years of the COVID-19 Pandemic in Colombia: A Serial Cross-Sectional Study."
"Talk to me" an anonymous digital support system for people in Rwanda dealing with stigmatized issues: mental health, gender-based violence (GBV), substance abuse, and unwanted pregnancies.
A secure, survivor-centered desktop application for Gender-Based Violence (GBV) case management, evidence vault, and survivor support built with JavaFX, Spring Boot, and Python AI.
Evaluation framework for demographic invariance and safety response disparities in AI systems, with a focus on women's safety and gender based violence.
South Africa crime statistics analysis — GBV, rape, femicide, SAPS Q3 2025/26 | Python | SAMRC | Statsmodels | ARIMA
Verified NCRB dataset on rape incidence, justice outcomes, victim profiles, and state trends in India, supporting Women's Safety AI research.
This paper analyzes some Machine Learning methods and its effectiveness to predict Gender Based Violence in Mexico
AI-powered deep learning system for real-time detection of violence against women in videos — benchmarking ResNet18, 3D-CNN+GRU & Video Swin Transformer — Esprit School of Engineering
Research-Based LegalTech Prototype implementing the Victim-Centred Legal Response Framework for Non-Consensual Intimate Image Abuse (NCII) in Bangladesh.
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