Experience the power of AI in your grading workflow
Our AI-powered platform is built for educators. Save up to 80% of your grading time while ensuring high-quality grading, getting detailed analytics, and providing personalized feedback to every student.
Evaluate code in Python, C++, Java, JavaScript, TypeScript, and more — all in one place.
Our AI analyzes submissions and delivers actionable suggestions within seconds.
Access detailed performance metrics to identify learning gaps and track progress.
Get comprehensive insights into student performance patterns and identify areas for targeted improvement.
Customize grading criteria and weights to match your teaching objectives and assessment standards.
Detect code duplication across submissions and maintain academic integrity with confidence.
Get answers to common questions about our AI-powered code grading system
EduSageAI's code grader automatically evaluates student submissions by analyzing code structure, and assessing various quality metrics based on the problem statement. It provides detailed feedback on each aspect, helping students understand their performance comprehensively. The system evaluates code based on problem statements, assessing functionality, code quality, and technical proficiency while providing actionable insights for improvement.
Students can submit their code directly through our integrated editor using a unique invite link provided by the educator. The process is streamlined and user-friendly - there's no need for manual uploads or external tools. The platform supports real-time code editing and submission, making it convenient for both students and educators.
Our platform currently supports a wide range of programming languages including C++, Java, JavaScript, TypeScript, Python, and Ruby. We're continuously working to expand our language support based on user demand and educational requirements. Each language implementation includes specific optimizations for accurate code evaluation.
Our advanced algorithms employ sophisticated code comparison techniques to detect similarities between submissions. The system analyzes code structure, logic patterns, and implementation approaches to identify potential instances of plagiarism. This ensures academic integrity while providing educators with detailed similarity reports and evidence for any flagged submissions.
Yes, EduSageAI is built with security and scalability in mind. We implement industry-standard security measures to protect student data and submissions. The platform can easily scale to accommodate institutions of any size, from individual classrooms to entire universities, while maintaining performance and reliability.
