srivastavask/cvlab-ai
Jan 2025 – May 2025
3 Months active
Languages Used
HTMLJSONJavaScriptPython
Technical Skills
Computer VisionData ScienceData VisualizationImage ProcessingJupyter NotebookJupyter Notebooks
Suryansh Chaudhary
PROFILE
Suryansh Chaudhary
Contributed to the srivastavask/cvlab-ai repository by developing a series of computer vision lab modules and research artifacts over three months, focusing on reproducible workflows and scalable lab scaffolding. Built Jupyter Notebooks demonstrating image processing techniques such as resizing, grayscale conversion, histogram equalization, and pixel counting using Python, OpenCV, and Matplotlib. Delivered a complete ASL sign language recognition project leveraging MobileNetV2 with data augmentation, accompanied by thorough documentation and ready-to-run resources. Established a maintainable project structure that accelerates onboarding and future experimentation, emphasizing clean code organization, modular data handling, and robust machine learning pipelines for both instructional and research purposes.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
17Total
Bugs
0
Commits
17
Features
7
Lines of code
6,003
Activity Months3
Your Network
29 peopleSame Organization
@bennett.edu.in6
Shared Repositories
23
Work History
May 2025
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for srivastavask/cvlab-ai. Delivered two key feature sets with accompanying documentation and ready-to-run artifacts, enhancing research reproducibility and enabling rapid experimentation in CVLab-AI.
4 Commits • 2 Features
May 1, 2025May 2025 monthly summary for srivastavask/cvlab-ai. Delivered two key feature sets with accompanying documentation and ready-to-run artifacts, enhancing research reproducibility and enabling rapid experimentation in CVLab-AI.
May 2025
February 2025
5 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for srivastavask/cvlab-ai: Delivered foundational lab scaffolding, Lab 4 Notebook for image processing, and image compression plus MNIST CNN pipeline. These efforts established a scalable framework for future labs, enhanced image processing capabilities, and a data-driven ML workflow, aligning with business goals of rapid lab content creation and robust ML experimentation.
February 2025
5 Commits • 3 Features
Feb 1, 2025February 2025 monthly summary for srivastavask/cvlab-ai: Delivered foundational lab scaffolding, Lab 4 Notebook for image processing, and image compression plus MNIST CNN pipeline. These efforts established a scalable framework for future labs, enhanced image processing capabilities, and a data-driven ML workflow, aligning with business goals of rapid lab content creation and robust ML experimentation.
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for srivastavask/cvlab-ai: Delivered foundational Lab content scaffolding for Lab 2 and Lab 3, added image processing demos using OpenCV and Matplotlib, and cleaned up legacy Lab 2 content to improve maintainability and onboarding velocity. No major bugs fixed this month; focus was on scaffolding, refactoring, and establishing a reusable lab framework that accelerates future feature work.
8 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for srivastavask/cvlab-ai: Delivered foundational Lab content scaffolding for Lab 2 and Lab 3, added image processing demos using OpenCV and Matplotlib, and cleaned up legacy Lab 2 content to improve maintainability and onboarding velocity. No major bugs fixed this month; focus was on scaffolding, refactoring, and establishing a reusable lab framework that accelerates future feature work.
January 2025
Activity
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Quality Metrics
Correctness81.2%
Maintainability81.2%
Architecture81.2%
Performance80.0%
AI Usage24.8%
Skills & Technologies
Programming Languages
HTMLJSONJavaScriptPython
Technical Skills
CNNComputer VisionData AugmentationData PreprocessingData ScienceData SplittingData VisualizationDeep LearningGoogle ColabHistogram EqualizationImage ProcessingJupyter NotebookJupyter NotebooksKerasMachine Learning
Repositories Contributed To
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