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Cover image for Project Overview: WHS.ae (http://WHS.ae) –
Project Overview: WHS.ae (http://WHS.ae) – Enterprise Safety & AI Solutions Platform The Challenge: The client needed a robust, high-authority digital presence to represent their leadership in Workplace Health and Safety (WHS) compliance within the UAE. The goal was to transform a standard corporate site into a comprehensive resource hub featuring a client portal, AI-driven tools, and a seamless service booking journey. The Solution: I engineered a high-performance web architecture that prioritizes speed, security, and user experience. Key Technical Deliverables: Custom Corporate Architecture: Built a modular system including dedicated pages for About Us, Services, and a specialized AI Tools Store. AI Integration: Developed an AI Tools System and integrated an intelligent Live Chat to automate customer engagement and safety inquiries. User Journey Optimization: Designed a full Client Panel and streamlined Payment Flow to facilitate secure B2B transactions. SEO & Performance: Optimized every page—from the Blog to the Pricing sections—for search engine visibility and mobile responsiveness. Security-First Coding: Implemented specialized Security Messages and data protection protocols across the entire user journey. The Results: A professional, high-converting platform that serves as a one-stop-shop for health and safety compliance. Enhanced credibility in the UAE market through a modern, AI-integrated UI/UX. Seamless backend management for safety tool sales and client inquiries.
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Cover image for AI-Enabled Automated Vulnerability Scanner (AVS) Project
AI-Enabled Automated Vulnerability Scanner (AVS) Project Overview The AI-Enabled Automated Vulnerability Scanner (AVS) is a comprehensive cybersecurity application engineered to proactively identify, test, and evaluate complex network and web-based security risks. Built as a rigorous defense project, this tool streamlines the vulnerability management lifecycle by moving beyond basic static rule-matching. It leverages automated intelligence to map digital environments, expose critical security flaws, and deliver actionable, developer-ready risk assessments, enabling teams to secure their applications efficiently before deployment. Core Architecture & Features Intelligent Crawler Extraction: Automatically navigates and maps complex web architectures to discover hidden endpoints, directories, and exposed digital assets. Dynamic Parameter Fuzzing: Systematically injects unexpected or malformed data into input parameters to expose unhandled exceptions and hidden injection vectors. Method Overriding Detection: Analyzes HTTP method configurations to identify insecure API implementations, bypass attempts, and unauthorized access routes. Contextual Risk Scoring: Evaluates discovered threats based on real-world exploitability, prioritizing critical vulnerabilities and generating structured defense documentation. Vulnerability Detection Scope The AVS engine is designed to automatically detect and evaluate 11 distinct classes of critical web vulnerabilities: Injection & Execution: SQL Injection (SQLi), Cross-Site Scripting (XSS), Command Injection, and XML External Entities (XXE). Access & Authentication: Broken Authentication, Broken Access Control, and Server-Side Request Forgery (SSRF). System & Data Exposure: Security Misconfiguration, Insecure Deserialization, Sensitive Data Exposure, and Directory Traversal.
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