muntisa/py-grader-ai: v0.1.0 β Initial Release
Abstract
π 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. β¨ 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. π§βπ« Target Users University professors Instructors teaching Python programming Academic evaluators seeking scalable grading solutions π 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