EduPulse AI

EduPulse AI, published by moh1122, is a student-support prototype. Students submit course screenshots, PDFs or text so Gemini can extract tasks and deadlines, then review them before generating a plan. An instructor view demonstrates preparing support actions from student records, with model inputs, outputs and evaluation traces visible in the interface. Actual email delivery and calendar invitations are listed as future work, so stored demo records should not be mistaken for sent notifications.

Who it's for:Developers, educators and education-product teams studying planning and student-support workflows.

Before you start: Self-hosting requires Node.js 20+, MongoDB Atlas and Gemini API access, with possible model charges. Student information and model input/output are stored in the database and may also be sent to optional Arize Phoenix tracing. Confirm permission, de-identification and access controls before use. We do not recommend uploading sensitive real student records or using automated assessments directly for decisions affecting students. Code uses MIT; documentation is in English.

Based on the project's public documentation. Not tested by AI Inspiration World.