Team Idea
AI-Powered Virality Simulator
The AI-Powered Virality Simulator predicts how a social media video might perform before publication. It uses Agent-Based Modeling (ABM) to create virtual AI agents representing different users, each with unique interests and engagement behaviors. These agents simulate how people might react to, like, share, or ignore a video. The system models how content spreads through a social network and analyzes engagement, sharing patterns, and audience reach. Based on the simulation, it provides insights into potential virality, such as whether content may become a niche hit or reach a wider audience. This tool helps creators test content ideas, understand audience behavior, and refine their strategies before posting. While it cannot guarantee real-world virality or replicate Instagram's complete algorithm, it offers an innovative way to explore content performance using AI-driven social simulations.
Team Members
Nitesh kumar Mishra
nitesh_kumar_mishra757
Submission
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