Lazy Teacher is an innovative AI-powered tool that helps educators grade assignments quickly and accurately. By uploading a grading rubric, teachers can utilize the system to analyze and provide comprehensive feedback on students' work. This tool aims to reduce the grading workload, allowing teachers to focus more on instruction and personalized learning. With advanced AI technology, Lazy Teacher ensures fairness and consistency in grading, making it a valuable asset for educational institutions.

Agent4Edu is a Python-based AI agent framework designed to support teaching and learning through automated, intelligent interactions. It orchestrates multiple agents—such as question‐generation, feedback, and analytics agents—powered by large language models and domain knowledge graphs. Teachers can define curricula and knowledge sources, then deploy Agent4Edu to generate exercises, grade submissions, track learning progress, and recommend study materials. Its plugin architecture allows integration with popular LMS platforms via REST APIs or direct database connectors. Built-in tools for customizing prompts, fine-tuning models, and visualizing student performance make Agent4Edu a comprehensive solution for personalized, data-driven education.