GradeFusion.ai

Abstract

This project aims to develop an online coding evaluation platform for academic use, enabling students to be assessed on their programming skills in languages such as C, C++, and Java. The platform allows teachers to upload coding challenges along with example solutions and test cases. An automated grading system evaluates student submissions based on test case performance, ensuring fair and consistent assessment. This automation significantly reduces manual grading efforts, allowing teachers to focus on instruction rather than evaluating each submission individually. In addition to streamlining the grading process, the platform provides real-time analytics on student performance, enabling teachers to identify areas where students may face difficulties and adapt their teaching strategies accordingly. With its user-friendly interface, the platform supports efficient and interactive learning by providing personalized coding suggestions and performance insights. The proposed system enables students to improve their programming skills through continuous practice and feedback while providing teachers with data-driven insights for effective academic assessment and instruction.