kietmcaproject/AI_AI101B_2024-25
Apr 2025 – Apr 2025
1 Month active
Languages Used
DOCXPPTXPython
Technical Skills
Algorithm ImplementationData VisualizationHeapqMatplotlibNumPyPathfinding
aloksingh933
PROFILE
Aloksingh933
Alok developed a core A* pathfinding prototype for the kietmcaproject/AI_AI101B_2024-25 repository, focusing on both algorithmic depth and usability. He implemented the A* algorithm in Python, integrating grid generation and data visualization using NumPy and Matplotlib to facilitate clear demonstration of pathfinding logic. To support onboarding and stakeholder engagement, Alok produced comprehensive documentation and presentation assets in DOCX and PPTX formats, streamlining knowledge transfer. His work included codebase cleanup by removing obsolete scripts, which improved maintainability. The project emphasized feature delivery and architectural clarity, resulting in a robust, ready-to-demo AI pathfinding solution with supporting collateral.
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 people
Work 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
Loading activity data...
Quality Metrics
Correctness77.6%
Maintainability75.0%
Architecture75.0%
Performance75.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DOCXPPTXPython
Technical Skills
Algorithm ImplementationData VisualizationHeapqMatplotlibNumPyPathfindingPython
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline