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
Developed an end-to-end physical activity recognition pipeline in the Chameleon-company/MOP-Code repository, delivering a comprehensive Jupyter Notebook that integrates dataset setup, extraction, loading, cleaning, and preprocessing for the CAPTURE24 dataset. The solution included splitting data into training, validation, and test sets, with embedded data visualization to support model evaluation. Leveraging Python, Pandas, and deep learning frameworks, the notebook implemented a CNN+BiLSTM architecture and ensured reproducibility by aligning data paths and plot titles to CAPTURE24 standards. The work emphasized a reusable, traceable workflow, accelerating prototyping and providing clear documentation for future research in activity recognition without reported bugs.
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 peopleWork 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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