Tubitak 2209-A Reasearch Project Support Programme for Undergraduate Students

Our final project was supported by the TÜBİTAK 2209-A Research Project Support Program for Undergraduate Students. The project focuses on developing forecasting models using state-of-the-art machine learning techniques and time series data to predict student success at the university. These techniques primarily include LSTM, Transformer, and CNN/RNN hybrid models, which are specialized for time series data. Additionally, our project involves synthetic data generation and a web application for managing the end system.