Classify Computer Science grades for University of Greenwich

This project aims to predict the final grades (G2 and G3) of students based on various factors such as age, study time, family support, and more.It utilizes machine learning techniques to make predictions and offers insights into the factors affecting students' grades.

Scalable and modifiable multimodal classification. Targeting mainly grade-prediction, based on various life-style choices of students.

Developed an Internal Mark Calculator website tailored for SRMIST to simplify internal marks calculation. This user-friendly tool allows students to input marks for cycle tests and lab practical and instantly calculate their total internal marks. **Empowers students with a grade predictor to strategize their preparation effectively**.

Working on a simple linear regression model for predicting students' exam scores. Using a dataset with features like study time, family size, and parental backgrounds. This work is for personal training and educational purposes.

SmartGrade AI is a predictive academic analysis system using machine learning and databases to monitor and improve student performance.

✨ 一种基于代码生成的大语言模型 (LLM) 智能体，实现班级自主管理小程序 A code-generation-based LLM agent for autonomous class management mini-programs.✨一个基于大语言模型（LLM）的智能班级管理小程序，通过代码生成和函数调用实现多智能体协同，支持自然语言交互、成绩预测、统计分析、可视化图表等功能。创新点包括函数依赖图、智能体反问机制和动态知识库集成，系统采用Django和FastAPI混合架构，兼顾开发效率与高并发性能，为班级管理提供智能化解决方案。

A machine learning project to predict student final grades using academic and demographic data. Built with pandas, scikit-learn, and visualized with seaborn and matplotlib to gain insights and support early intervention for students.

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An ML-based model which predicts the grade of a student at IIT Guwahati.

Excel simulation bulletins ISEN