Deep Learning Models for the Early Detection of Parkinson’s Disease using the motor-based symptoms.

Code of our paper "Method-Level Bug Severity Prediction using Source Code Metrics and LLMs" which is accepted to ISSRE 2023.

A django web app that predicts the disease and severity based on the symptoms collected from user

This is a traffic severity prediction model built using XGBoost, deployed on flask.

An advanced deep learning framework designed for accurate multi-class lung disease diagnosis and severity assessment using Chest X-ray (CXR) images.

🛡️ CyberPulse – AI-Powered Vulnerability Management System A full-stack platform for automated vulnerability assessment and remediation. CyberPulse processes OpenVAS XML reports, integrates real-time threat intelligence (NVD, Vulners, Shodan), and uses AI models to recommend fixes, predict severity, and visualize risks through dashboard