DataScience-ArtificialIntelligence/OOPsJava
Nov 2024 – Nov 2024
1 Month active
Languages Used
JavaMarkdownXML
Technical Skills
Build ConfigurationData RetrievalDocumentationFile HandlingGUIHashMap
ibeginnernoob
PROFILE
Ibeginnernoob
Developed an end-to-end Phone Model Data Crawler and Lookup feature for the DataScience-ArtificialIntelligence/OOPsJava repository, focusing on ingesting iPhone model data from Wikipedia and making it accessible through a searchable interface. Leveraged Java and the Jsoup library for web scraping, storing the retrieved data in a HashMap to enable efficient queries for model details. Enhanced repository organization to streamline future feature development and maintainability. Applied minor parsing and processing improvements to ensure higher data quality and stability. The work demonstrated strengths in build configuration, file handling, and project management, delivering a robust foundation for extensible data retrieval solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
243
Activity Months1
Your Network
11 peopleWork History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 — DataScience-ArtificialIntelligence/OOPsJava: Delivered a robust Phone Model Data Crawler and Lookup feature. Implemented end-to-end ingestion of iPhone model data from Wikipedia, stored in a searchable data structure, and exposed a query interface for model details. Updated repository organization to better support feature development and future extensions. Minor parser/processing tweaks were applied to improve data quality and reliability.
3 Commits • 1 Features
Nov 1, 2024November 2024 — DataScience-ArtificialIntelligence/OOPsJava: Delivered a robust Phone Model Data Crawler and Lookup feature. Implemented end-to-end ingestion of iPhone model data from Wikipedia, stored in a searchable data structure, and exposed a query interface for model details. Updated repository organization to better support feature development and future extensions. Minor parser/processing tweaks were applied to improve data quality and reliability.
November 2024
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdownXML
Technical Skills
Build ConfigurationData RetrievalDocumentationFile HandlingGUIHashMapJavaJsoupProject ManagementRefactoringWeb Scraping
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