SamaKhan35/Automated-Content-Moderation
Automated Content Moderation System: A machine learning project designed to categorise textual content into appropriate or inappropriate. Preprocessing of the data, LSTM and BERT model training and evaluation, and a Flask web application for real-time content classification are included in this project. Developed as part of University research.
This project helps online communities and content platforms automatically identify and filter harmful text and images. You provide it with text, or upload an image containing text, and it tells you if the content is appropriate or inappropriate for public display. This is designed for community managers, social media platforms, and website administrators who need to maintain a safe and respectful environment.
No commits in the last 6 months.
Use this if you manage user-generated content and need an automated way to screen for offensive or inappropriate material before it goes live.
Not ideal if you require moderation for very nuanced content, audio, or video, as this system focuses solely on text within text fields and images.
Stars
8
Forks
4
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 22, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/SamaKhan35/Automated-Content-Moderation"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
KOKOSde/localmod
Self-hosted content moderation API that outperforms Amazon Comprehend. 100% offline, your data...
Kalebu/Plagiarism-checker-Python
A python project for checking plagiarism of documents based on cosine similarity
credo-ai/credoai_lens
Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model...
jina-ai/example-app-store
App store search example, using Jina as backend and Streamlit as frontend
ogulcanaydogan/AI-Provenance-Tracker
Open-source multi-modal AI content detection platform, analyses text, images, audio, and video...