DataScience-ArtificialIntelligence/OOPsJava
Nov 2024 – Nov 2024
1 Month active
Languages Used
CSVJavaMarkdownText
Technical Skills
Algorithm ImplementationAlgorithmsData ManagementData StructuresDijkstra's AlgorithmDocumentation
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PROFILE
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Developed interactive graph algorithm visualizations for the DataScience-ArtificialIntelligence/OOPsJava repository, focusing on educational tools for city data analysis. Delivered GUI-based implementations of Prim’s Minimum Spanning Tree and Dijkstra’s Shortest Path algorithms, enabling users to load city and edge data, compute geographic distances using the Haversine formula, and visualize algorithmic paths. Enhanced the codebase by introducing robust graph data structures and improving documentation for easier onboarding and extensibility. Streamlined repository management by removing outdated directories, reducing technical debt and maintenance complexity. Utilized Java, Java Swing, and object-oriented programming principles to create a more accessible and maintainable environment for algorithm exploration.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
15Total
Bugs
0
Commits
15
Features
3
Lines of code
122,656
Activity Months1
Your Network
11 peopleWork History
November 2024
15 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for DataScience-ArtificialIntelligence/OOPsJava: Delivered interactive graph algorithm visualizations that enhance learning and decision support on city data, and performed targeted cleanup of legacy code to reduce technical debt. Key features delivered: Prim's MST Visualization for Cities (GUI loads city data, computes the MST based on geographic distances, and visualizes the MST path); Dijkstra's Shortest Path Visualization and Infrastructure (GUI loads city and edge data, displays shortest paths, and includes essential graph data structures and supporting files). Codebase cleanup: removal of legacy Prims_Dijkstra and Dijkstra directories to retire outdated implementations. Overall impact: improved user experience for algorithm exploration, accelerated onboarding for new contributors, and reduced maintenance burden. Technologies/skills demonstrated: Java, GUI development (graphical visualization), graph algorithms (Prim's and Dijkstra's), graph data structures (e.g., Graph, Bag), and documentation/commit hygiene.
15 Commits • 3 Features
Nov 1, 2024November 2024 monthly summary for DataScience-ArtificialIntelligence/OOPsJava: Delivered interactive graph algorithm visualizations that enhance learning and decision support on city data, and performed targeted cleanup of legacy code to reduce technical debt. Key features delivered: Prim's MST Visualization for Cities (GUI loads city data, computes the MST based on geographic distances, and visualizes the MST path); Dijkstra's Shortest Path Visualization and Infrastructure (GUI loads city and edge data, displays shortest paths, and includes essential graph data structures and supporting files). Codebase cleanup: removal of legacy Prims_Dijkstra and Dijkstra directories to retire outdated implementations. Overall impact: improved user experience for algorithm exploration, accelerated onboarding for new contributors, and reduced maintenance burden. Technologies/skills demonstrated: Java, GUI development (graphical visualization), graph algorithms (Prim's and Dijkstra's), graph data structures (e.g., Graph, Bag), and documentation/commit hygiene.
November 2024
Activity
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Quality Metrics
Correctness92.0%
Maintainability92.0%
Architecture92.0%
Performance90.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJavaMarkdownText
Technical Skills
Algorithm ImplementationAlgorithmsData ManagementData StructuresDijkstra's AlgorithmDocumentationFile DeletionFile I/OGUI DevelopmentGraph AlgorithmsGraph TheoryHaversine FormulaJavaJava DevelopmentJava Module System
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