The DroneNLP GitHub Organization is dedicated to advancing research at the intersection of Natural Language Processing (NLP) and drone aviation. Our mission is to transform complex, unstructured drone flight log data into actionable intelligence, enhancing safety, streamlining maintenance, and empowering forensic analysis in the rapidly expanding drone industry.

We envision a future where autonomous analysis of drone flight data ensures safer skies, more efficient operations, and deeper insights into UAV performance and incidents. Through open science and collaborative research, we aim to build robust NLP tools and datasets that serve the global drone and AI communities.

Here are our main repositories within this organization:

• Documentation:

  • This is the primary repository for our "NLP for Drone Flight Log Analysis" project, containing our detailed documentation website, methodology, and core research assets. Visit Project Website

• DFLER: Drone Flight Log Entity Recognizer:

  • One of our open-source tools to identify key entities such as Component, Parameter, Function, Action, Issue, and State within log messages to help analyst find relevant logs quickly. View Repository

We welcome researchers, developers, and drone enthusiasts to explore our work and contribute!

• Browse our repositories: Check out the projects listed above.
• Join the discussion: Open issues on our project repositories for questions or suggestions.
• Contribute code/data: See individual repository READMEs for contribution guidelines.

For general inquiries, collaborations, or partnership opportunities, please reach out to swardyantara[at]gmail.com