Student Dropout Prediction
Developed an intelligent machine learning system to help educational institutions predict and prevent student dropouts. Leveraged RandomForestClassifier to achieve superior accuracy in identifying at-risk students, enabling early intervention strategies. Deployed as a cloud-based application using Streamlit for real-time predictions.