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ExamAI

AdesharaBrijeshbyAdesharaBrijesh
•
Ciencia de Datos y ML
Productividad y Flujo de Trabajo
Aprendizaje y Documentación

Automates the generation, conduction, and evaluation of exams through an AI-powered assessment platform leveraging RAG and multi-LLM validation.

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ExamAI is an AI-driven assessment platform designed to revolutionize the way exams are created, administered, and graded. It harnesses modern GenAI architectures, including Retrieval-Augmented Generation (RAG) over course content and multi-LLM validation, to generate new exams from course materials or evaluate existing question papers. The platform prioritizes performance, explainability, and real-world workflows, offering features like deterministic blueprint-based structures, offline-safe exam conduction via React and IndexedDB, and explainable semantic grading for descriptive answers with evidence tracing.

Características Principales

01Retrieval-Augmented Generation (RAG) for exam content creation
02Offline-safe answer storage via IndexedDB for resilient exam conduction
030 GitHub stars
04Multi-LLM generation and verification for robust questions and answers
05Semantic grading and explainable scores for descriptive answers
06Deterministic blueprint-based exam structure generation

Casos de Uso

01Conducting automated MCQ exams or section-wise descriptive exams with offline capabilities.
02Evaluating existing question papers by generating reference answers and rubrics.
03Generating new exams from course materials and topics.