A curated showcase of my Media Intelligence projects, featuring AI-powered analysis, social listening, campaign dashboards, video analytics, and strategic content reports developed throughout the course.
This section features one of my main projects from the course, showing how AI can be used to analyze media narratives, identify risks, and generate strategic recommendations.
MIND is an AI-powered Media Pulse Dashboard that analyzes public perception, narratives, sentiment, and communication risks from media data. It helps transform raw digital signals into structured insights and strategic recommendations.
Launch Featured ProjectThese projects represent different applications of Media Intelligence, from AI-powered dashboards and reputation monitoring to campaign performance analysis and TikTok content intelligence.
An AI-powered dashboard that analyzes public perception, sentiment, narratives, and communication risks. It converts media data into structured insights and strategic recommendations.
FRAME is an AI-powered video analytics platform designed to review advertising content and extract performance signals. It supports creative evaluation through video-based metrics, content structure, and ad intelligence insights.
RADAR is a digital crisis monitoring dashboard that tracks reputation signals, public sentiment, and potential media risks. It helps identify early warning signs and organize response priorities for strategic communication.
PETA GIGI is a web application designed to extract, structure, and analyze public dental clinic data instantly. It supports B2B marketing campaigns by turning public clinic information into organized and actionable lead intelligence.
This project analyzes Ramadan digital campaign performance across sentiment, platforms, media types, locations, and engagement trends. It uses visual dashboards to generate practical insights from campaign data.
A structured content intelligence report analyzing Cloudcakes’ Dubai Mochi Donut TikTok content. It covers performance metrics, content mechanics, conversation structure, and strategic implications.
This portfolio brings together selected projects I developed during the Media Intelligence course. Each project reflects a different approach to understanding digital media data, audience behavior, content performance, reputation signals, and strategic communication.
Through these projects, I explored how AI tools, public data, data visualization, and content analysis can support better decision-making in media and digital marketing. The works presented here include web-based dashboards, campaign notebooks, video analytics platforms, monitoring tools, public data applications, and strategic reports.