Multi-modal content moderation system. Detects toxic text and unsafe images in real-time using BERT and Computer Vision. Designed for high-performance safety governance.
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Updated
May 7, 2026
Multi-modal content moderation system. Detects toxic text and unsafe images in real-time using BERT and Computer Vision. Designed for high-performance safety governance.
Python package to accelerate research on generalized out-of-distribution (OOD) detection.
Open-source safety and cognitive control infrastructure for physical AI agents — robots, LLM agents, autonomous systems.
Code for the paper "A Data-Driven Measure of Relative Uncertainty for Misclassification Detection"
A custom YOLOv8 helmet-detection model trained for 100 epochs using a Roboflow dataset. Includes scripts for real-time image and video detection with bounding boxes, confidence scores, and object tracking with persistent IDs for accurate rider safety monitoring.
AI response safety/ethics/accuracy checker - by A0 (currently not maintained)
A robust, real-time Face Mask Detection system built with Python, OpenCV, and TensorFlow. Features automated environment setup, FPS monitoring, and fail-safe execution.
Safe multi-modal autonomous driving with cross-attention perception and formally verified QP runtime enforcement shield.
Agentic AI system for Nordic wind-turbine manufacturing using AWS Bedrock and Claude, reducing downtime, enforcing safety, and preventing high-cost mechanical failures.
Reinforcement learning framework for training autonomous F1 racing agents with CBF safety guarantees, real F1 track data, MuJoCo physics simulation, and multi-agent racing support
Code for the Paper "A Functional Data Perspective and Baseline on Multi-Layer Out-of-Distribution Detection"
Real-time computer vision safety monitoring system using OpenCV and PyTorch for industrial hazard detection
Real-time adaptive learning system for autonomous vehicles using NVIDIA Cosmos Reason2-2B. Generates safety rules from edge cases, achieving 1500x speedup after learning. Built for NVIDIA Cosmos Developer Competition 2026.
YOLOv8-based kitchen utensil detection and classification system for safety-aware assistive environments, with custom dataset and occlusion-aware evaluation.
ML system to predict workplace safety incidents in manufacturing — analyzes sensor data, work patterns, and environmental factors to prevent accidents before they occur
Safety-shielded reinforcement learning for simulated blood glucose control with virtual Type 1 Diabetes patients.
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