JEEChemSage.AI: An Explainable AI Platform for Immersive Organic Reaction Mechanism Elucidation and Education

The JEEChemSage.AI project introduces an innovative AI-assisted chemistry learning platform designed to fundamentally shift the pedagogical approach to organic reaction mechanisms from rote memorization to deep, reasoning-based understanding. This platform employs a sophisticated multistage technological framework, beginning with the parsing of diverse chemical inputs into standardized SMILES representations, followed by the application of SMARTS pattern matching for precise functional group identification. A core component is its robust rule-based inference engine, which intelligently classifies organic reactions and provides transparent, step-by-step mechanistic elucidations. The system extensively integrates the RDKit cheminformatics toolkit for comprehensive molecular property computation, enriching its explanations with quantitative data. An interactive web interface, built with Streamlit, facilitates the visualization of reaction steps and the generation of dynamic practice questions. Furthermore, JEEChemSage.AI incorporates cutting-edge immersive WebXR/VR technologies for an unparalleled user experience, a high-performance graph-based molecular structure for improved computational efficiency, asynchronous processing capabilities for scalability, and the integration of lightweight machine learning models for initial classification, all while maintaining a strong emphasis on explainability for profound educational efficacy.