Python-based learning analytics platform for student performance benchmarking, trend analysis, question-level diagnostics, weakness detection, and time-efficiency analysis.
AI-powered K-12 student analytics platform. Uses ML to predict behavior patterns, identify at-risk students early, and generate personalized learning recommendations. Built with Streamlit & scikit-learn.
Student academic performance tracker with historical progress analysis and personalized target roadmaps.
End-to-end student learning analytics project using Python, Pandas, SQL, SQLite, and Tableau to analyze student outcomes, engagement, assessment scores, and submission behavior.
End-to-End Education Analytics Platform for Student Performance, Engagement and Academic Intelligence using Python and Data Analytics.
A 100% pure Python terminal utility for tracking student grades, computing performance distributions, and generating analytical report summaries.
Machine Learning system that predicts student final marks based on study hours, attendance, and previous marks using Linear Regression, with a Flask REST API for real-time predictions.
Machine Learning project that predicts student detention risk based on attendance data using Random Forest and Streamlit.
Explainable Academic Early Warning System (Local Web App)
A full-stack class analytics platform for tracking students' LeetCode progress, daily problem-solving growth, historical snapshots, leaderboards, and coding activity.
Bu proje, öğrencilerin sınav performanslarını ve sorulara karşı hissiyatlarını (çok kolay, zor, anlamadım vb.) yapay zekâ ile analiz ederek, kişiye özel öğrenme yol haritası oluşturan bir otomasyon sistemidir.
AI-powered essay evaluation system with automated scoring, personalized feedback, analytics dashboard and reports.
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