To develop an AI system that automatically edits raw video content based on viewer preferences, trends, and engagement metrics. The system creates personalized highlights, trims unnecessary footage, and applies intelligent effects to improve audience retention.
Collect raw video datasets from multiple platforms.
Train machine learning models to detect scenes, faces, and emotions.
Develop algorithms for automatic scene selection, transitions, and highlight generation.
Integrate sentiment analysis to match viewer preferences.
Implement video compression and format optimization for different devices.
Create a recommendation engine for personalized video content.
Test the system for editing accuracy, speed, and user satisfaction.
Build a simple user interface for content upload and preview.
Prepare detailed documentation of AI models, workflow, and results.
