OpenHUTB/nn
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
Data AnalysisData VisualizationMachine LearningModel TrainingPythonPython programming
aliangabc
PROFILE
Aliangabc
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
10Total
Bugs
0
Commits
10
Features
4
Lines of code
5,280
Activity Months1
Your Network
159 people
Work History
December 2025
10 Commits • 4 Features
Dec 1, 2025OpenHUTB/nn — December 2025: Key features delivered include (1) Speed Monitoring and Velocity Prediction System with anomaly detection and driving mode/direction prediction; (2) Emergency Braking Time Prediction System using tree-based models with data generation, training, and visualization; (3) Alarm Systems for Driverless Vehicles (smoke and temperature) with real-time monitoring and threshold-based triggers; (4) Anomaly Detection and Efficiency Monitoring combining isolation forest and random forest-based efficiency scoring with visualization. Major bugs fixed: no explicit bugs fixed in the provided data (minor comment updates/refactors across commits). Overall impact: improved safety, proactive control insights, and operational analytics enabling data-driven decision-making for monitoring, prediction, and alerting. Technologies demonstrated: ML modeling (random forest, isolation forest), data generation pipelines, model training and visualization, anomaly detection, real-time monitoring, and cross-feature system integration.
10 Commits • 4 Features
Dec 1, 2025OpenHUTB/nn — December 2025: Key features delivered include (1) Speed Monitoring and Velocity Prediction System with anomaly detection and driving mode/direction prediction; (2) Emergency Braking Time Prediction System using tree-based models with data generation, training, and visualization; (3) Alarm Systems for Driverless Vehicles (smoke and temperature) with real-time monitoring and threshold-based triggers; (4) Anomaly Detection and Efficiency Monitoring combining isolation forest and random forest-based efficiency scoring with visualization. Major bugs fixed: no explicit bugs fixed in the provided data (minor comment updates/refactors across commits). Overall impact: improved safety, proactive control insights, and operational analytics enabling data-driven decision-making for monitoring, prediction, and alerting. Technologies demonstrated: ML modeling (random forest, isolation forest), data generation pipelines, model training and visualization, anomaly detection, real-time monitoring, and cross-feature system integration.
December 2025
Activity
Loading activity data...
Quality Metrics
Correctness94.0%
Maintainability84.0%
Architecture92.0%
Performance84.0%
AI Usage36.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Data AnalysisData VisualizationMachine LearningModel TrainingPythonPython programmingalgorithm designalgorithm developmentanomaly detectiondata analysisdata visualizationmachine learningmodel evaluationsensor data processingsoftware development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline