Welcome to the Content Moderation Platform repository! This project provides a robust and scalable system for monitoring, flagging, and handling objectionable or sensitive content.
Content moderation is critical for any platform that allows user-generated content. By integrating this platform, you can effectively detect and manage content that violates community guidelines, including text, images, or videos.
- Automated Text Analysis: Uses NLP to detect offensive or sensitive text content.
- Multimedia Moderation: Flags and reviews inappropriate images or videos.
- Customizable Rules: Adapt the moderation rules to fit your community or brand’s needs.
- Real-Time Detection: Immediate alerts for harmful or policy-violating content.
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Data Ingestion
The system ingests blog content from your application. -
Analysis & Flagging
The content is processed using ML-driven classifiers to detect issues like hate speech, nudity, or violence. -
Moderation Dashboard
Moderators can approve or remove flagged content, as well as provide feedback to improve future detection.
Below are two blog posts that dive deeper into the Content Moderation Platform. Check them out to learn more about our approach and technology:
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Blog Post #1: Building a Robust Multi-Module Content Platform with Spring Boot and MongoDB
As online platforms grow, the need for robust content moderation becomes essential to ensure community guidelines and quality standards are met. Building a scalable and maintainable content moderation platform is no small feat, especially when aiming to support features like secure user authentication, content workflows, and high availability.In this post, I’ll walk you through how I built a Content Platform using Spring Boot, MongoDB, Mongock, JWT Authentication, and a multi-Module architecture. Each module focuses on a specific feature to ensure modularity and scalability.
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Blog Post #2: Asynchronous Real-Time Content Moderation System Using Amazon Bedrock and Spring Boot
Content moderation is a critical feature for any platform hosting user-generated content. In this blog, we'll explore how to build an Asynchronous Real-Time Content Moderation System using Amazon Bedrock, Amazon Comprehend, and Spring Boot. We'll cover the architecture, code implementation, and how these services work together to ensure secure and clean content..
Follow the steps below to get up and running with this repository:
- Clone the Repository for Blog Post 1
git clone -b base-project https://github.com/prabhatpankaj/Content-Moderation-System.git
- Clone the Repository for Blog Post 2
git clone -b content-moderation https://github.com/prabhatpankaj/Content-Moderation-System.git