Educators spend significant time on manual grading of student assignments, leading to delayed feedback and reduced capacity for personalized instruction. This process is often inconsistent across different graders and can be a bottleneck in the educational workflow.

GradeWiz offers an AI-powered teaching assistant that automates the grading of various student assignments, including essays, code submissions, and problem sets. The platform utilizes natural language processing (NLP) and machine learning models to evaluate student work against predefined rubrics and learning objectives. This automation allows educators to provide timely, consistent, and objective feedback, freeing up their time to focus on pedagogical activities and student support. GradeWiz integrates with existing learning management systems (LMS) to streamline the assessment workflow and enhance the overall educational experience.

AI-driven automated grading for essays, code, and quantitative assignments

Customizable rubric integration for tailored assessment criteria

Natural Language Processing (NLP) for qualitative feedback analysis

Machine learning models for objective scoring and plagiarism detection

Integration APIs for seamless connection with popular Learning Management Systems (LMS)

Dashboard for educators to review AI-generated scores, provide manual overrides, and track student progress

Support for multiple assignment types and academic disciplines

The primary users are K-12 educators, university instructors, and educational institutions seeking to optimize their assignment grading processes and improve feedback delivery to students.

GradeWiz operates on a tiered subscription model, with pricing based on the number of active users and the volume of assignments processed per academic term.