student-performance-prediction

Claude Opus 2026 Pro Toolkit – AI Pair Programmer & Desktop CLI Redefined local AI Coding Hub: Run Claude Models Offline in 2026

ML Grade Predictor 2026: AI Exam Score Forecaster & Student Success Analyzer

The primary objective of this project is to develop a predictive model that can forecast the performance of students in their academic projects. The model aims to help educators and institutions identify students who may need additional support or intervention early in the project development process, ultimately enhancing overall student success.

Students’ Performance Prediction Using Machine Learning Approach

An intelligent machine learning application that predicts student exam scores and provides personalized recommendations for academic improvement using advanced AI and data analytics.

A machine learning web application built with Flask that predicts student performance based on input data. This project showcases practical skills in data preprocessing, model training, evaluation, and deploying ML models using Flask for real-time predictions.

A Machine Learning project that predicts student math performance using features like reading score, writing score, parental education, lunch type, and test preparation course. Built with Python, Scikit-learn, Pandas, and Streamlit, featuring data preprocessing, model training, evaluation, and an interactive web app.

Predicting student performance 🎓📊 using behavioral data 🤓🧠 Comparison of XGBoost 🌳⚡ with baseline models 📊 Learn, visualize and explore how data-driven models uncover academic success! 🚀📈

📊 Student Grade Analysis — Data mining project predicting academic performance using Python (Pandas, Scikit-Learn, SHAP). Includes visualizations, PDF report, and interpretable ML insights.

Using Machine learning to predict a student final grade

AI-powered student performance prediction system using machine learning and Streamlit to forecast academic outcomes, analyze performance, and generate personalized recommendations

This project predicts the performance of a student in academics taking more than 10 factors into consideration.

Machine Learning system for predicting student academic performance using the Open University Learning Analytics Dataset (OULAD).

GradeGuru is ML-powered grade predictor to forecast student exam performance. Input student information and get accurate grade predictions for proactive academic planning. Enhance student success and academic outcomes with GradeGuru.

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.

This software helps you to predict any student's performance status 🧑‍🎓🏫 on the bases of some key characteristics such as their Previous Marks🖊️, Attendance📅, Wasted time⏰, Extracurricular📖, etc. This project is made on React FrontEnd while BackEnd is powered on Fast API and Pandas 💻.

Student Performance Data Science Study case using ML Prediction and using a Confusion Matrix

Student Performance Analysis and Prediction using Machine Learning, XGBoost, Scikit-Learn and Streamlit..

Dead Simple Result Analysis for VTU Engineering Students

An end-to-end automated machine learning pipeline for predicting student academic performance, covering data ingestion, preprocessing, model training, evaluation, and deployment-ready artifacts.