Datastat-Automatic Assessment Abstract Generation System

The epitome of this project is to innovative an “Datastat-Automatic Assessment Abstract Generation System” which is designed to revolutionize how colleges disseminate student performance information. The system focuses on creating streamlined, user-friendly PDF abstracts of internal assessment marks. Students or Faculty members can input marks seamlessly through an intuitive mark entry form, associating them with specific degree, department, courses, subjects and semesters. The system supports various grading systems, ensuring flexibility in assessment. The automated calculation engine generates real-time abstracts in PDF format, including total marks, percentages, and grade points. This functionality provides administrators with instant insights into student performance, facilitating data-driven decision-making and robust data security. The system’s efficiency extends to real-time updates and notifications for stakeholders, promoting transparency and enabling timely interventions. Customizable reporting tools further enhance the user experience. As a standalone solution or integrated with existing college management systems, this system optimizes data flow and ensures a seamless transition from input to output. This paper highlights the design, implementation, and evaluation of this system, emphasizing its contribution to efficient and transparent communication of internal assessment results in a user-friendly PDF format Additionally, it incorporates predictive analysis, displaying a table of students with predicted marks and a total class bar graph with pass/fail plots. The system ensures efficient, transparent communication of internal assessment results, contributing to data-driven decision-making and proactive interventions.