Rayyan is an innovative AI-powered platform tailored to simplify the systematic review process for researchers, academics, and professionals. By integrating advanced machine learning and natural language processing technologies, it enables users to efficiently manage and screen vast collections of research articles, significantly reducing the time and effort traditionally required. This tool is particularly beneficial for conducting literature reviews, meta-analyses, and evidence synthesis projects. To begin using Rayyan, users initiate a project and upload their research articles in various formats, such as PDFs or citation files. The platform then automatically extracts essential 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. A key feature of Rayyan is its AI-assisted screening capability, which predicts article relevance based on user decisions. As users screen articles, the AI learns from their choices and provides recommendations to prioritize or exclude articles, thereby accelerating the process. Rayyan also facilitates 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 smooth 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, providing flexibility for users to work from anywhere. With its user-friendly interface, comprehensive features, and AI-driven efficiency, Rayyan is an essential tool for anyone engaged in systematic reviews or evidence-based research.