Chameleon-company/MOP-Code
Sep 2025 – Sep 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
Data PreprocessingData ProcessingData VisualizationDeep LearningMachine LearningNumPy
Bhavithra08
PROFILE
Bhavithra08
Bhavi developed an end-to-end physical activity recognition notebook for the Chameleon-company/MOP-Code repository, focusing on the CAPTURE24 dataset. The project integrated data setup, extraction, loading, cleaning, and preprocessing, culminating in a reproducible workflow for training, validation, and testing splits. Bhavi used Python and Jupyter Notebook, leveraging libraries such as NumPy and Pandas for data handling and Scikit-learn for machine learning tasks. The notebook incorporated data visualization to support model evaluation and aligned data paths and plot titles to CAPTURE24 standards, ensuring reproducibility. The work emphasized clear documentation, traceable changes, and accelerated prototyping for activity recognition research pipelines.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
3,137
Activity Months1
Your Network
98 people
Work History
September 2025
2 Commits • 1 Features
Sep 1, 2025Sep 2025 monthly summary for Chameleon-company/MOP-Code: Delivered an end-to-end Physical Activity Recognition notebook (CNN+BiLSTM) using the CAPTURE24 dataset. Implemented dataset setup, extraction, loading, cleaning, preprocessing, and train/validation/test splitting with integrated data visualization. Aligned data paths and plot titles to CAPTURE24 standards to ensure reproducibility across environments. No major bugs reported this month; focus remained on building a reusable research pipeline and improving data handling. Impact includes faster prototyping for activity recognition models and clearer guidance for model evaluation, with traceable changes and documentation. Technologies/skills demonstrated include Python notebooks, data preprocessing, dataset integration, visualization, and version control.
2 Commits • 1 Features
Sep 1, 2025Sep 2025 monthly summary for Chameleon-company/MOP-Code: Delivered an end-to-end Physical Activity Recognition notebook (CNN+BiLSTM) using the CAPTURE24 dataset. Implemented dataset setup, extraction, loading, cleaning, preprocessing, and train/validation/test splitting with integrated data visualization. Aligned data paths and plot titles to CAPTURE24 standards to ensure reproducibility across environments. No major bugs reported this month; focus remained on building a reusable research pipeline and improving data handling. Impact includes faster prototyping for activity recognition models and clearer guidance for model evaluation, with traceable changes and documentation. Technologies/skills demonstrated include Python notebooks, data preprocessing, dataset integration, visualization, and version control.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
Data PreprocessingData ProcessingData VisualizationDeep LearningMachine LearningNumPyPandasPythonScikit-learn
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