ResearchRover transforms the traditional research process by employing an advanced Agentic approach to LLMs, allowing the model to actively browse the web and access multiple sources of information. With tools like search engines for general queries, Wikipedia for quick reference, Arxiv for scientific literature, and YouTube for visual content, ResearchRover ensures thorough and diverse data collection.