AI Observability & Evaluation
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Updated
Jun 8, 2025 - Jupyter Notebook
AI Observability & Evaluation
A comprehensive solution for monitoring your AI models in production
A python library to send data to Arize AI!
Java client to interact with Arize API
Example projects for Arthur Model Monitoring Platform
Fencing Game
AI-powered online exam proctoring system that detects suspicious activities using computer vision. Tracks eye movements, face presence, multiple faces, and talking during exams with real-time alerts and dashboard.
Production-ready Retrieval Augmented Generation (RAG) system with hybrid retrieval, advanced evaluation metrics, and monitoring. Build enterprise LLM applications with reduced hallucinations, better context management, and comprehensive observability.
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