IRIS (Interactive Research Ideation System) is an AI-driven assistant that empowers researchers to rapidly prototype study ideas. Users input a research topic or domain, and IRIS produces tailored research questions, identifies key concepts, synthesizes relevant literature abstracts, and suggests experimental designs or methodological approaches. It organizes these insights into customizable workflows, supporting hypothesis development, data collection planning, and result interpretation frameworks. Through iterative chatting, IRIS refines outputs based on feedback, ensures alignment with research goals, and exports structured reports in formats like PDF, DOCX, or Markdown. By automating repetitive tasks and enhancing creative brainstorming, IRIS accelerates early-stage research across academia, R&D labs, and startups, fostering innovation and reducing time-to-insight.