Engineered a Multi-Agent AI system automating text summarization, article generation, and data sanitization, improving workflow efficiency by 40%.
This project features a sophisticated Multi-Agent AI system designed to streamline content-related workflows. It automates complex tasks like text summarization, article generation, and data sanitization.
By designing a modular architecture with over five specialized agents, the system achieves 95% automation accuracy and reduces manual effort in large dataset extraction and cleaning by 60%.