Rayyan is a powerful AI-driven tool designed to streamline the systematic review process for researchers, academics, and professionals. It leverages machine learning and natural language processing to help users efficiently screen and organize large volumes of research articles, saving time and reducing manual effort. The platform is particularly useful for conducting literature reviews, meta-analyses, and evidence synthesis projects. To get started with Rayyan, users first create a project and upload their research articles in various formats, such as PDFs or citation files. Rayyan then automatically extracts key metadata, including titles, abstracts, and keywords, and organizes them into a structured database. Users can apply filters and tags to categorize articles based on relevance, study type, or other criteria. One of Rayyan's standout features is its AI-assisted screening capability, which uses machine learning to predict article relevance based on user decisions. As users screen articles, the AI learns from their choices and provides recommendations to prioritize or exclude articles, significantly speeding up the process. Rayyan also supports collaborative workflows, allowing multiple team members to work on the same project simultaneously. Users can assign tasks, leave comments, and track progress in real-time, ensuring seamless coordination. Additionally, Rayyan offers advanced analytics and reporting tools to help users visualize their screening results and generate insights. The platform is accessible via web and mobile apps, making it convenient for users to work from anywhere. With its intuitive interface, robust features, and AI-driven efficiency, Rayyan is an indispensable tool for anyone involved in systematic reviews or evidence-based research.