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.

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).

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