🛠️ Classify software bugs by severity using machine learning to help teams prioritize fixes and enhance software quality and reliability.

Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Automated Bug Severity Classification uses ML to categorize bugs by severity, helping teams prioritize critical issues, allocate resources efficiently, and enhance software quality and reliability.

Automated Severity Classification in Bug Reports. Evaluating a Hybrid BERT and K-Means Approach

An intelligent bug severity classification system leveraging TF-IDF for feature extraction, SMOTE for data balancing, and logistic regression for interpretable multi-class prediction. This repository contains the source code, detailed documentation, and experimental results for automated bug report evaluation using the Bugzilla dataset.

Developed a full-stack AI-driven issue tracking system to automate bug classification, severity prediction, and fix recommendations. Built RESTful APIs using FastAPI with a modular backend following SDLC best practices. Trained NLP models for root cause analysis and integrated LLM-based fix suggestions. Deployed using Docker on cloud infrastructure