ISEC-DATA-CHALLENGE

• Tech Stack: Llama2, Python, Transformers, peft, bitsandbytes, pyTorch
• Github URL: Project Link

ISEC-Data-Challenge 2025, where we worked on bug report prioritization using machine learning. The challenge involved analyzing two datasets: train.csv (containing 52,995 bug reports with priorities as the "ground truth"). test.csv (containing bug report data for evaluation). Our approach included preprocessing, feature engineering, and applying predictive models to classify bug priorities into one of five categories (0–4).