Machine Learning model to predict MBA admission chances based on academic & profile features, with EDA, model comparison, and interactive insights.

A machine learning project that predicts student performance based on input features and generates personalized feedback using a smart dashboard.

AI-powered academic guidance system that predicts student GPA and recommends personalized courses using collaborative filtering, Jaccard similarity, and PageRank algorithms. Built with Python ML backend, Node.js API, and web frontend for real-time academic planning assistance.

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.

AI-powered student mentoring system using hybrid ML (K-Means) and rule-based decision intelligence to detect risks, generate interventions, and automate mentor assignment.

Predicts undergraduate student graduation outcomes using Random Forest, XGBoost, and Logistic Regression with SHAP interpretability and Sankey diagrams to identify at-risk students early.

Multi-class text classification of student social media posts into 4 categories (engagement, living conditions, finances, university loyalty). Achieved 83% accuracy using NLP pipeline with NLTK, Catboost and sklearn. VCIOM Hackathon 2024 (AI & Digital Technologies in Sociological Research).

Projeto desenvolvido com o intuito de fornecer um acompanhamento individualizado e pedagógico aos alunos, transformando planilhas de correção em relatórios individuais de autogestão, automatizando a geração de relatórios.

Machine Learning project that predicts student detention risk based on attendance data using Random Forest and Streamlit.

AI-powered academic records system for Nigerian universities featuring GPA/CGPA computation, performance trend analysis, and anomaly detection in student results.

EDA of the AMCAT job dataset to uncover trends in salary, academic performance, skills, and job locations using Python and data visualization tools.

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.

Machine learning web app for estimating student GPA and CGPA from academic, attendance, and extracurricular features through a simple Flask interface.

Explainable Academic Early Warning System (Local Web App)