DataScience-ArtificialIntelligence/OOPsJava
Nov 2024 – Nov 2024
1 Month active
Languages Used
JavaMarkdownXML
Technical Skills
Build ConfigurationData RetrievalDocumentationFile HandlingGUIHashMap
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PROFILE
Ibeginnernoob
Adheil Gupta developed a Phone Model Data Crawler and Lookup feature for the DataScience-ArtificialIntelligence/OOPsJava repository, focusing on end-to-end ingestion and retrieval of iPhone model data from Wikipedia. He implemented the system in Java, leveraging Jsoup for web scraping and HashMap for efficient data storage and querying. The solution included a user-facing query interface and improvements to repository organization, supporting future feature development. Adheil also refined data parsing and processing to enhance reliability and data quality. His work demonstrated depth in build configuration, file handling, and project management, resulting in a robust, extensible foundation for structured data retrieval tasks.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
243
Activity Months1
Work 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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