What is Sound Soar?

Sound Soar is an AI-driven research initiative focused on analyzing the performance of music and video content across social media platforms. Originally developed as a capstone project at Full Sail University, it has evolved into a comprehensive application designed to offer deeper insights into content engagement and effectiveness. Notably, the project's findings are slated for presentation as a two-page poster at the upcoming FLAIRS-38 conference, scheduled for May 20-23, 2025, at the Hilton Daytona Beach Oceanfront Resort.

Research Origins & Focus

I am Victoria Grasso, a computer scientist and full-stack engineer dedicated to crafting impactful technological solutions. I earned my Master's in Computer Science from Full Sail University, where I had the privilege of conducting research under the mentorship of Dr. Andreas Marpaung, Ph.D., a distinguished professor and course director. This collaboration culminated in the inception of Sound Soar, an AI-driven project aimed at assessing the performance of music and video content on social media platforms. Building upon its academic roots, Sound Soar is currently transitioning into a robust tool intended to provide nuanced insights into content engagement and effectiveness.

Research Roadmap (Post Capstone)

Stage 1: Audio Analysis (In progress)
Stage 2: Video & Mood Detection
Stage 3: Data Collection
Stage 4: Feature Engineering
Stage 5: Neural Network Training
Stage 6: Performance Metrics
Stage 7: Testing & Predictions
Stage 8: User App & Integration

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