After KAUST Academy
Ritaj works at EY. Ritaj was a teaching assistant for KAUST Academy cybersecurity courses in 2025, built the graduation project Jasoor, a VR-based phobia assessment system, and earned the CompTIA CySA+ and INE eCTHP certifications.
Summer project
Cybersecurity Specialization · Cohort 2024
SafePost: AI-Powered Post PII Detection
Personally Identifiable Information (PII) is information that can be used to distinguish or trace an individual's identity. With the rise of social media, people are increasingly sharing sensitive information and PII, often without realizing the potential risks. This oversharing can lead to serious privacy breaches, including identity theft, harassment, and other malicious activities. Despite existing platform warnings, many users remain unaware of the dangers, making it crucial to develop tools that help safeguard their privacy. Our project utilizes AI to analyze posts shared by users on our dummy social media platform, detecting PII and alerting users to potential privacy risks before they publish their content. The process starts by the user uploading an image to the SafePost website, which is then sent to the SafePost server. The server processes the image using the AWS Textract for text extraction, followed by analyzing the extracted text with three AI models—Gemini (0.2), AWS Comprehend (0.4), and Presidio (0.4)—to detect any PII. A weighted threshold is then applied, where the total weight is compared against a threshold of 0.7 to determine if PII is present before sending the detection result back to the user. SafePost aims to enhance user privacy by proactively detecting and alerting users about the sharing of sensitive information. This functionality can be integrated into today’s social media platforms, offering proactive
With KAUST Academy
- Cohort 2024
University of Glasgow · Cybersecurity Summer School
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