Rayyan is a specialized AI tool designed to optimize the systematic review workflow for academic and professional researchers. By harnessing advanced machine learning algorithms and natural language processing capabilities, it transforms how users handle large collections of research papers, dramatically cutting down on manual screening time. The platform is particularly valuable for conducting comprehensive literature reviews, meta-analyses, and evidence-based research projects. To start using Rayyan, researchers initiate a new project and import their research materials in multiple formats including PDFs and standard citation files. The system automatically processes these documents, extracting and structuring key metadata such as titles, abstracts, and keywords into a searchable database. Users can then apply custom filters and labeling systems to sort articles by relevance, methodology, or other important criteria. A key innovation of Rayyan is its intelligent screening assistant, which employs machine learning to predict article relevance based on user screening patterns. As researchers make inclusion/exclusion decisions, the AI continuously learns from these choices and provides increasingly accurate recommendations to streamline the review process. The platform also excels in collaborative environments, enabling research teams to work concurrently on the same project with features like task assignment, real-time commenting, and progress tracking. For data analysis, Rayyan includes sophisticated visualization tools that help researchers interpret screening results and derive meaningful conclusions. Available across web and mobile platforms, Rayyan offers flexibility for researchers to work from any location. Combining an intuitive user interface with powerful AI capabilities, Rayyan has become an essential resource for systematic review projects across various academic disciplines.