The project aims to enhance the LORIS web platform, a widely used tool in neuroimaging research with databases utilized by research teams in 22 countries, by improving its data ingestion, storage, and processing capabilities for neural information. The approach includes familiarizing with the LORIS platform, exploring its source code, assessing and enhancing existing modules, and introducing new modules to augment and enhance functionality. The project will involve rigorous implementation and testing of code updates, documentation of changes, and integration of feedback from the LORIS community. Deliverables include improvements to the existing code, development of features for EEG modules, development of visualization and data pipelines, and comprehensive documentation and tutorials for new features. This enhancement will streamline research efforts for the global user base of LORIS, making the platform more efficient and user-friendly.