The mario-ai project offers a comprehensive pipeline for developing AI agents to master Super Mario Bros. using neuroevolution. By integrating a Python-based NEAT implementation with the OpenAI Gym SuperMario environment, it allows users to define custom fitness criteria, mutation rates, and network topologies. During training, the framework evaluates generations of neural networks, selects high-performing genomes, and provides real-time visualization of both gameplay and network evolution. Additionally, it supports saving and loading trained models, exporting champion genomes, and generating detailed performance logs. Researchers, educators, and hobbyists can extend the codebase to other game environments, experiment with evolutionary strategies, and benchmark AI learning progress across different levels.

ScholarRank is an innovative AI-powered tool that enables educators to effortlessly generate questions from various document formats such as PDFs, PPTs, and slides. Tailored for educational institutions, the platform simplifies the process of creating and scheduling classroom tests, online exams, and homework assignments. By leveraging state-of-the-art AI models like ChatGPT-4 and Claude-3, ScholarRank enhances educational efficiency, allowing teachers to focus more on instruction and less on administrative tasks. Its user-friendly interface ensures that both educators and students can manage their academic activities seamlessly and securely.