LabMate AI

LabMate AI is an AI-powered laboratory research copilot designed to help students, researchers, and PhD scholars move from a research idea to a structured research plan more efficiently. Researchers often spend significant time searching across papers, protocols, documentation, and analysis resources to determine how an experiment should be designed and analyzed. LabMate AI brings these planning steps into one workflow. Users describe their research title, hypothesis, experimental technique, sample type, key variables, and expected outcomes. The application then uses AI to generate a structured research plan that can include research objectives, experimental workflows, protocol guidance, materials and reagents, quality-control checklists, bioinformatics or computational analysis pipelines, statistical analysis recommendations, visualization suggestions, expected outcomes, and common best practices. The application is primarily built with Native.builder, using its AI-assisted application development capabilities to create the React-based interface and user workflows. Supabase provides authentication and backend services, while an external LLM API powers AI research-plan generation. Generated research plans can be persisted and accessed through the application for continued use. Our goal is to reduce fragmented research planning and give researchers an intelligent starting point for designing experiments and organizing their analysis workflow. LabMate AI is designed as a research productivity tool and does not replace expert scientific judgment or guarantee scientific accuracy.