muntisa/py-grader-ai: v0.1.0 β€” Initial Release

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Authors: Cristian R Munteanu
Cited by: 0

Abstract

πŸš€ Initial Release β€” Py-Grader AI This is the first official release of Py-Grader AI, an AI-powered tool designed to assist professors in grading Python programming exams efficiently and consistently. ✨ Key Features AI-Driven Evaluation Automated grading powered by Google Gemini 2.0 Flash API for deep code understanding. Three-Phase Grading Workflow Automatic generation of evaluation criteria AI-based assessment of student submissions Exportable grading reports Editable Evaluation Criteria Review, customize, or refine AI-generated rubrics before running evaluations. Evaluation Viewer Clear presentation of grading results and feedback per submission. Deterministic & Fair Grading Designed to produce consistent and repeatable results. Secure & Local Execution Runs entirely in the browser; API keys are stored locally and never shared. Multi-Language Support Available in English, Spanish, Galician, and Romanian. πŸ§‘β€πŸ« Target Users University professors Instructors teaching Python programming Academic evaluators seeking scalable grading solutions πŸ“Œ Notes This release establishes the foundation of the project. Future versions may include LMS integrations, expanded language support, and additional grading customization options. Tag: v0.1.0 Status: Initial public release

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 January 2026