shreyansh-21/HateShield
HateShield is an AI-powered hate speech detection system using LSTM for text and ResNet for images. It analyzes social media comments, memes, and other content to identify harmful speech with high accuracy.
No commits in the last 6 months.
Stars
3
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 16, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/shreyansh-21/HateShield"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
Hironsan/HateSonar
Hate Speech Detection Library for Python.
t-davidson/hate-speech-and-offensive-language
Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive...
franciellevargas/HateBR
HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for...
rishabhmisra/News-Headlines-Dataset-For-Sarcasm-Detection
High quality dataset for the task of Sarcasm Detection
roshancyriacmathew/hate-speech-detection-using-machine-learning
This is a python project that is used to identify hate speech in tweets. The dataset used to...