OpenHUTB/nn
Mar 2026 – Apr 2026
2 Months active
Languages Used
PythonBatchfile
Technical Skills
Python programmingalgorithm comparisondata visualizationmachine learningAirSim integrationPython
springstart11111
PROFILE
Springstart11111
Over a two-month period, contributed to the OpenHUTB/nn repository by developing gesture-based drone control features and advancing algorithmic evaluation tools. Built an extensible Python framework to compare six gesture classification algorithms, generating visualizations and documentation to support data-driven model selection for drone control applications. Integrated gesture recognition with the Microsoft AirSim simulator, enabling real-time drone operation via hand gestures and keyboard overrides. Enhanced the system’s maintainability and reliability through a modular architecture, cross-platform startup tooling, and comprehensive logging. Focused on Python programming, computer vision, and UI development, the work established a scalable foundation for future simulation and gesture recognition features.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
2
Lines of code
5,290
Activity Months2
Your Network
263 peopleWork History
April 2026
9 Commits • 1 Features
Apr 1, 2026In 2026-04, delivered end-to-end AirSim-based drone control via hand gestures for OpenHUTB/nn, integrating gesture recognition with the Microsoft AirSim simulator, keyboard overrides, a refreshed UI, external configuration, and a logging system. Implemented a modular core architecture and launcher tooling to improve maintainability and cross-platform reliability, plus comprehensive docs. Fixed critical reliability issues (APIs, paths, encoding) and introduced scalable startup flows for future features.
9 Commits • 1 Features
Apr 1, 2026In 2026-04, delivered end-to-end AirSim-based drone control via hand gestures for OpenHUTB/nn, integrating gesture recognition with the Microsoft AirSim simulator, keyboard overrides, a refreshed UI, external configuration, and a logging system. Implemented a modular core architecture and launcher tooling to improve maintainability and cross-platform reliability, plus comprehensive docs. Fixed critical reliability issues (APIs, paths, encoding) and introduced scalable startup flows for future features.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for OpenHUTB/nn focusing on feature delivery, bug fixes, and technical impact. Delivered a robust gesture classification algorithm comparison and visualization feature to enhance gesture recognition for drone control applications. Implemented an extensible comparison framework covering six algorithms, produced results tables and visualizations, and documented findings to guide model selection and future optimizations. This work directly improves real-time gesture accuracy, user experience, and engineering efficiency for gesture-based control systems.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for OpenHUTB/nn focusing on feature delivery, bug fixes, and technical impact. Delivered a robust gesture classification algorithm comparison and visualization feature to enhance gesture recognition for drone control applications. Implemented an extensible comparison framework covering six algorithms, produced results tables and visualizations, and documented findings to guide model selection and future optimizations. This work directly improves real-time gesture accuracy, user experience, and engineering efficiency for gesture-based control systems.
Activity
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Quality Metrics
Correctness82.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage44.0%
Skills & Technologies
Programming Languages
BatchfilePython
Technical Skills
AirSim integrationPythonPython programmingPython scriptingUI designUI developmentalgorithm comparisoncomputer visioncross-platform developmentdata visualizationdrone controlgesture recognitionlogging systemmachine learningsimulation
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