kietmcaproject/AI_AI101B_2024-25
Apr 2025 – Apr 2025
1 Month active
Languages Used
DOCXPPTXPython
Technical Skills
Algorithm ImplementationData VisualizationHeapqMatplotlibNumPyPathfinding
aloksingh933
PROFILE
Aloksingh933
Developed a core A* pathfinding prototype for the kietmcaproject/AI_AI101B_2024-25 repository, focusing on algorithm implementation and data visualization in Python. The work included building a runnable pathfinding solution with grid generation and visual output using Matplotlib and NumPy, enabling clear demonstration of AI concepts. Supporting documentation and presentation assets in DOCX and PPTX formats were created to streamline stakeholder demos and onboarding. The codebase was refined by removing obsolete scripts, improving maintainability and clarity. No bug fixes were recorded, as the emphasis remained on delivering new features and enhancing project documentation for efficient knowledge transfer and team adoption.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
161
Activity Months1
Your Network
139 peopleWork History
April 2025
4 Commits • 2 Features
Apr 1, 2025April 2025 – kietmcaproject/AI_AI101B_2024-25: Core AI pathfinding prototype delivered with supporting documentation assets. Focused feature work established a runnable A* pathfinding prototype in Python, including grid generation and visualization, complemented by AI project documentation and presentation assets to accelerate stakeholder demos and onboarding. No critical bug fixes recorded this month; the emphasis was on delivering business-value features and cleaning up the codebase to improve maintainability. Technologies demonstrated include Python, data visualization, algorithm implementation (A*), and documentation tooling, underpinning faster demos and knowledge transfer.
4 Commits • 2 Features
Apr 1, 2025April 2025 – kietmcaproject/AI_AI101B_2024-25: Core AI pathfinding prototype delivered with supporting documentation assets. Focused feature work established a runnable A* pathfinding prototype in Python, including grid generation and visualization, complemented by AI project documentation and presentation assets to accelerate stakeholder demos and onboarding. No critical bug fixes recorded this month; the emphasis was on delivering business-value features and cleaning up the codebase to improve maintainability. Technologies demonstrated include Python, data visualization, algorithm implementation (A*), and documentation tooling, underpinning faster demos and knowledge transfer.
April 2025
Activity
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Quality Metrics
Correctness77.6%
Maintainability75.0%
Architecture75.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DOCXPPTXPython
Technical Skills
Algorithm ImplementationData VisualizationHeapqMatplotlibNumPyPathfindingPython
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