Among Us VR – Moderation System
Built a real-time abuse detection and moderation dashboard for Among Us VR to ensure safe in-game communication.
Category
Web Dev
Client
Schell Games
Start Date
N/A
Designer
Arooj Irfan
Project Description
Collaborating with Schell Games, I helped build a comprehensive moderation and abuse detection system for Among Us VR’s in-game communication. The system was designed to maintain a safe and inclusive environment by detecting and managing foul language, harassment, and abusive behavior in real-time.
KEY FEATURES
This system was designed to monitor in-game voice chat in real time, using AI to detect abusive language and flag harmful interactions without disrupting gameplay. Voice inputs are transcribed, analyzed instantly, and passed through a smart moderation dashboard that allows moderators to issue tiered actions based on severity. A behavioral scoring system tracks user trends, while cross-platform syncing ensures data flows smoothly between VR clients, backend analysis, and the React-based admin dashboard — all while respecting user privacy and data protection protocols.
Real-time transcription and abuse detection using AI
Tiered moderation system (warnings, temp bans, permanent bans)
Behavioral scoring with trend visualization and heatmaps
Fully responsive moderation dashboard built in React
Privacy-first logging with minimal personal data exposure
Simulation tools for testing and QA with replay functionality
MY ROLE
I worked closely with the team at Schell Games to design and develop the moderation interface and backend logic. I focused on building a fast, accessible React dashboard for moderators, integrating real-time data streams, and ensuring that moderation tools were intuitive and effective. I also implemented backend logic for foul language detection, user scoring, and ban logic — with a strong emphasis on clarity, minimal friction, and user privacy.
UI Design with Figma to prototype clear, minimal moderator workflows
Frontend Development using React.js and Tailwind CSS for an accessible, responsive dashboard
Backend Development with Java (Spring Boot) for AI integration and moderation logic
Data Management using MySQL and Firebase for real-time syncing and storage
Voice Analysis Integration via REST APIs for live abuse detection
Led testing sessions and simulations to refine moderation accuracy and workflow usability