Automated Research Summaries through AI Agents Orchestration

This project features an AI-powered research assistant that utilizes the OpenAI Swarm framework to efficiently gather and synthesize technical information. By employing autonomous agents, the system performs real-time web searches through the Tavily API, providing users with rich insights.

Users can choose from predefined search options or conduct custom searches, specifying a time frame that ranges from days to weeks, months, or even years. This flexibility allows the assistant to deliver tailored responses that support decision-making in technical fields.

The research conducted through this assistant helps users understand emerging trends, unleash new potentials, and develop effective technology strategies. Overall, this project highlights how multi-agent systems can streamline research processes and enhance information delivery, making it easier for professionals to stay informed and make better decisions.