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Frictionless

  • 4 Devlogs
  • 11 Total hours

NeuroGraph is an AI-powered platform that transforms neuroscience papers into an interactive map of the brain's connections. Instead of reading hundreds of papers to understand how different brain regions communicate, researchers can explore a dynamic graph where each connection is linked to the original scientific evidence, experimental methods, and confidence level. By automatically extracting and organizing knowledge from the neuroscience literature, NeuroGraph turns decades of scattered research into a searchable, visual "Google Maps" for the brain, making it much faster to learn about neural circuits, identify knowledge gaps, and generate new research ideas.

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26m 24s logged

Frontend development for NeuroGraph is now functionally complete. The authentication interface, including the sign-in workflow, has been fully implemented, along with the core frontend components responsible for data visualization and user interaction At this stage, the remaining engineering is focused on integrating the frontend with the backend services by connecting API endpoints, implementing authentication and data flow between the client and server, and validating end-to-end functionality prior to deployment.

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8h 14m 20s logged

Frontend development for NeuroGraph is now complete, with the core user interface and interactive workflows for visualizing and analyzing neuroscience data implemented. The platform’s primary features are now fully integrated into the frontend, and the remaining work is focused on deployment, infrastructure setup, and making the application publicly accessible.

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39m 27s logged

I’m building NeuroGraph to automatically parse academic literature into a massive, interactive knowledge graph of the brain. Phase 1 is officially underway with the core app shell constructed.

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