srivastavask/cvlab-ai
Jan 2025 – May 2025
4 Months active
Languages Used
Jupyter NotebookPythonHTMLJavaScriptMarkdown
Technical Skills
Computer VisionData VisualizationFile ManagementGeometric TransformationsGoogle ColabImage Processing
E22CSEU0639
PROFILE
E22cseu0639
Eshit Srivastava developed foundational computer vision and machine learning resources for the srivastavask/cvlab-ai repository, focusing on reproducible lab notebooks and onboarding assets. Over four months, Eshit delivered end-to-end workflows for image processing, geometric transformations, and deep learning experiments using Python, Jupyter Notebook, and OpenCV. He consolidated and reorganized lab materials, standardized file structures, and enhanced documentation to streamline contributor onboarding and maintainability. Eshit also implemented an image loading and stitching pipeline, supporting data ingestion and visualization for model evaluation. His work emphasized clarity, reproducibility, and hands-on experimentation, providing a robust base for future tutorials and collaborative development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
29Total
Bugs
0
Commits
29
Features
6
Lines of code
8,780
Activity Months4
Your Network
23 people
Work History
May 2025
9 Commits • 2 Features
May 1, 2025May 2025 — CVLab-AI project progressed with end-to-end CV workflow foundations and onboarding readiness. Key features: Image Loading and Stitching Pipeline enabling data ingestion, stitching, visualization, and model evaluation; Documentation scaffolding and assets provisioning with updated READMEs and onboarding assets (PNG image, PDF report, YouTube links). No major bugs fixed this month. Overall, the work improves reproducibility, accelerates demos, and strengthens collaboration with maintainable docs and clear commit history.
9 Commits • 2 Features
May 1, 2025May 2025 — CVLab-AI project progressed with end-to-end CV workflow foundations and onboarding readiness. Key features: Image Loading and Stitching Pipeline enabling data ingestion, stitching, visualization, and model evaluation; Documentation scaffolding and assets provisioning with updated READMEs and onboarding assets (PNG image, PDF report, YouTube links). No major bugs fixed this month. Overall, the work improves reproducibility, accelerates demos, and strengthens collaboration with maintainable docs and clear commit history.
May 2025
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for srivastavask/cvlab-ai: Delivered lab resources enabling hands-on ML experiments, including Lab2 PDF report and Lab5 ML Notebook with sample MNIST and CIFAR-10 workflows; reinforced learning resources and practical ML skills; prepared a reusable end-to-end ML workflow resource for future labs.
March 2025
2 Commits • 1 Features
Mar 1, 2025March 2025 monthly summary for srivastavask/cvlab-ai: Delivered lab resources enabling hands-on ML experiments, including Lab2 PDF report and Lab5 ML Notebook with sample MNIST and CIFAR-10 workflows; reinforced learning resources and practical ML skills; prepared a reusable end-to-end ML workflow resource for future labs.
February 2025
12 Commits • 1 Features
Feb 1, 2025February 2025 (Month: 2025-02) — Consolidated and reorganized the Lab notebooks for the srivastavask/cvlab-ai project to improve maintainability and contributor onboarding. The work focused on establishing a consistent structure for Lab 1–4 and eliminating noise from obsolete artifacts. Key actions included creating a unified lab2/E22CSEU0639 folder, renaming and relocating notebooks to standard paths, and removing outdated files. While no major bug fixes were recorded this month, the repository organization exercise delivered a clean, scalable foundation for future content updates and tutorials. All changes are traceable via commit history.
12 Commits • 1 Features
Feb 1, 2025February 2025 (Month: 2025-02) — Consolidated and reorganized the Lab notebooks for the srivastavask/cvlab-ai project to improve maintainability and contributor onboarding. The work focused on establishing a consistent structure for Lab 1–4 and eliminating noise from obsolete artifacts. Key actions included creating a unified lab2/E22CSEU0639 folder, renaming and relocating notebooks to standard paths, and removing outdated files. While no major bug fixes were recorded this month, the repository organization exercise delivered a clean, scalable foundation for future content updates and tutorials. All changes are traceable via commit history.
February 2025
January 2025
6 Commits • 2 Features
Jan 1, 2025Monthly work summary for 2025-01 for repository srivastavask/cvlab-ai focusing on delivering two CV Lab notebooks and associated assets, with file renaming and metadata improvements to enhance reproducibility in Colab using OpenCV and PIL. No customer-visible bugs reported; minor housekeeping updates were performed to improve consistency and organization. This work establishes foundational labs for image processing and geometric transformations, enabling rapid onboarding and consistent experimentation in MLCV workflows.
January 2025
6 Commits • 2 Features
Jan 1, 2025Monthly work summary for 2025-01 for repository srivastavask/cvlab-ai focusing on delivering two CV Lab notebooks and associated assets, with file renaming and metadata improvements to enhance reproducibility in Colab using OpenCV and PIL. No customer-visible bugs reported; minor housekeeping updates were performed to improve consistency and organization. This work establishes foundational labs for image processing and geometric transformations, enabling rapid onboarding and consistent experimentation in MLCV workflows.
Activity
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Quality Metrics
Correctness89.0%
Maintainability89.0%
Architecture87.6%
Performance88.2%
AI Usage21.4%
Skills & Technologies
Programming Languages
HTMLJavaScriptJupyter NotebookMarkdownPython
Technical Skills
Computer VisionData StorageData VisualizationDeep LearningDocumentationFile ManagementGeometric TransformationsGoogle ColabImage ProcessingJupyter NotebookKerasMachine LearningMatplotlibNumPyOpenCV
Repositories Contributed To
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