FactScoreLite is an implementation of the FactScore metric, designed for detailed accuracy assessment in text generation. This package builds upon the framework provided by the original FactScore repository, which is no longer maintained and contains outdated functions.

An advanced system leveraging Machine Learning (ML) and Natural Language Processing (NLP) for accurate student answer evaluation with 89% accuracy.

Bachelor Thesis Project

GEN-MCQ is a Node.jsbackend application that leverages Gemini AI for generating multiple-choice questions (MCQs), summarizing text, and evaluating answers. This project includes endpoints for user prompts, MCQ generation, text summarization, and answer evaluation, providing comprehensive feedback and suggestions for improvement.