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Content Moderation System for Online Forums

Objective:

To automatically detect and manage inappropriate, offensive, or harmful content in online forums and discussion boards, ensuring a safe and respectful community environment.

Why Choose This Project:

  • Online forums often face challenges with spam, hate speech, and abusive language.

  • Automating content moderation reduces manual effort and improves response time.

  • Enhances community trust and platform reputation.

  • Integrates NLP, machine learning, and web development skills — highly practical for real-world applications.

Key Features:

Feature Description
Text Analysis Detect offensive, abusive, or inappropriate language using NLP.
Image & Video Moderation Detect objectionable visual content using AI image recognition.
Spam Detection Identify repeated or irrelevant posts automatically.
User Reporting System Allow users to flag inappropriate content.
Admin Dashboard Review flagged content and take actions like delete, warn, or block.
Real-time Moderation Automatic moderation for new posts before publishing.

Technology Stack:

  • Frontend: HTML, CSS, JavaScript, Bootstrap / React.js.

  • Backend: Python (Flask / Django) or Node.js.

  • Database: MySQL / PostgreSQL / MongoDB.

  • NLP & ML: spaCy, NLTK, transformers, scikit-learn for text classification.

  • Image/Video Analysis: TensorFlow / PyTorch / OpenCV for detecting objectionable media.

  • Optional: AWS Rekognition or Google Cloud Vision API for AI-based image/video moderation.

Working Flow:

  1. User Post Submission

    • Users submit text, images, or videos to the forum.

  2. Content Analysis

    • Text: NLP model analyzes the post for offensive language, hate speech, or spam.

    • Image/Video: AI model checks for inappropriate visuals.

  3. Flagging & Scoring

    • Posts are scored based on severity or likelihood of violation.

    • High-risk posts are flagged for admin review.

  4. Admin Review & Action

    • Admin dashboard displays flagged content.

    • Admin can approve, delete, or warn users.

  5. Feedback Loop

    • Model learns from admin decisions to improve moderation accuracy over time.

Main Modules:

  1. User Submission Module (text, image, video).

  2. Automated Content Moderation Module (ML/NLP/Image analysis).

  3. Flagging & Scoring Module.

  4. Admin Dashboard Module (review, action, analytics).

  5. Feedback & Model Training Module.

Security Features:

  • Protect user data with authentication and role-based access.

  • Prevent malicious uploads and spam attacks.

  • Log moderation actions for accountability.

This Course Fee:

₹ 2499 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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