DESIGN AND IMPLEMENTATION OF A RISK ASSESSMENT TOOL FOR WEBSITES

This project centers on building a web-based solution designed to detect, analyze, and mitigate website security threats. It addresses the growing need for intelligent, responsive tools to protect online platforms. Developed using the Agile methodology, the system benefited from iterative progress and continuous feedback, allowing it to adapt quickly to new requirements and improvements. Modern technologies were employed for both the frontend and backend. Tailwind CSS, TypeScript, and a hybrid of React and Vue were used to create an intuitive user interface, while the backend combined Node.js with Express and Django Rest Framework to handle core logic and API functionality. The integration of Gemini AI plays a crucial role in threat analysis, using machine learning to identify anomalies and vulnerabilities based on real-time user behavior.