UNLV-CS472-672/2025-S-GROUP3-RebelRemind
Mar 2025 – Apr 2025
2 Months active
Languages Used
HTMLJSONPythonTextCSSJSXJavaScript
Technical Skills
API DevelopmentBackend DevelopmentBeautifulSoupData ExtractionData FormattingData Parsing
blaiselol
PROFILE
Blaiselol
Blaise Carrillo developed end-to-end calendar data automation and aggregation features for the UNLV-CS472-672/2025-S-GROUP3-RebelRemind repository, focusing on robust backend services and maintainable code. He built a Selenium-based Python scraper to extract and standardize university calendar data, then designed RESTful APIs using Flask and Flask-RESTful for user, calendar, and organization data with persistent storage. Blaise integrated OpenAI’s GPT-3.5-turbo for automated event categorization and enhanced the React frontend with personalized event filtering and dynamic views. His work emphasized reliable data pipelines, cross-source integration, and comprehensive testing, resulting in a scalable, analytics-ready platform with improved user experience.
Overall Statistics
Feature vs Bugs
88%Features
Repository Contributions
19Total
Bugs
1
Commits
19
Features
7
Lines of code
3,501
Activity Months2
Your Network
10 people
Work History
April 2025
11 Commits • 4 Features
Apr 1, 2025April 2025 — Monthly performance summary for UNLV-CS472-672/2025-S-GROUP3-RebelRemind. This period delivered significant enhancements to data accessibility, AI-assisted categorization, and user experience, while strengthening test reliability to support ongoing maintainability and business value. Key features delivered: - Calendar Data API Enhancements (Weekly/Monthly Retrieval): Added weekly and monthly endpoints to retrieve calendar data across multiple calendar tables, enabling granular time-based data access and faster analytics. Commits include 23fa736ab80d4656b68723751680fd7eb025e55c. - Organization Data Scraper and API Integration: Implemented a new web scraper to extract organization names from the involvement center and added an API endpoint to persist organization data to the database. Commit 5f2c0a8975a46d89cd63bdbc7d4061e2abe92fc1. - AI-Powered Event Categorization: Integrated OpenAI GPT-3.5-turbo to automatically categorize UNLV calendar events; backend function ai_categorize_event is invoked when adding events. Commits 7d4fe53ae1e3825bca94fe5c71c97cea004e0a46 and 6410c711313b4f4bbfe9dd892eb007ffe2122918. - Personalized Event Filtering and Dynamic View: Enhanced UI to filter events by user-selected interests and preferences, supports dynamic view modes, and includes safety checks for robustness. Commits include 1c66076951288ed8bd92231ba380188c43b7306b, e6a7a698b7d42c1d74a260635f4d7c431d7055e6, c6d096a2356912e0a5794061c7cd706bebbf95c3, d98a0fa9b65a1b8be0595d7acf9a1d28329cf582, eb94376e01a5f0b70bb6bf8b32ac8af852a7c703. Major bugs fixed: - Testing Improvements and Bug Fixes: Fixed failing tests and refactored academic scraper tests to improve reliability and robustness of the test suite. Commits c2b261aff3a837714b08c3269535bad7871af4f0 and e6984993daa51d77f61249317728e985f8b1bf81. Overall impact and accomplishments: - Business value: The month delivered granular data access for calendar information, improved data ingestion for organizations, and automated event categorization, resulting in faster integrations, better analytics, and an improved user experience. Reliability improvements in the test suite reduce risk for future releases. - Technical accomplishments: API design and expansion, web scraping for data ingestion, AI integration for event categorization, UI/UX enhancements with personalization, and robust testing practices. Technologies/skills demonstrated: - REST API design and data retrieval strategies (weekly/monthly endpoints) - Web scraping and database integration for organizational data - AI/ML integration (OpenAI GPT-3.5-turbo) and backend processing - Frontend UX improvements (filters, dynamic views, safety checks) - Test automation and refactoring for reliability
11 Commits • 4 Features
Apr 1, 2025April 2025 — Monthly performance summary for UNLV-CS472-672/2025-S-GROUP3-RebelRemind. This period delivered significant enhancements to data accessibility, AI-assisted categorization, and user experience, while strengthening test reliability to support ongoing maintainability and business value. Key features delivered: - Calendar Data API Enhancements (Weekly/Monthly Retrieval): Added weekly and monthly endpoints to retrieve calendar data across multiple calendar tables, enabling granular time-based data access and faster analytics. Commits include 23fa736ab80d4656b68723751680fd7eb025e55c. - Organization Data Scraper and API Integration: Implemented a new web scraper to extract organization names from the involvement center and added an API endpoint to persist organization data to the database. Commit 5f2c0a8975a46d89cd63bdbc7d4061e2abe92fc1. - AI-Powered Event Categorization: Integrated OpenAI GPT-3.5-turbo to automatically categorize UNLV calendar events; backend function ai_categorize_event is invoked when adding events. Commits 7d4fe53ae1e3825bca94fe5c71c97cea004e0a46 and 6410c711313b4f4bbfe9dd892eb007ffe2122918. - Personalized Event Filtering and Dynamic View: Enhanced UI to filter events by user-selected interests and preferences, supports dynamic view modes, and includes safety checks for robustness. Commits include 1c66076951288ed8bd92231ba380188c43b7306b, e6a7a698b7d42c1d74a260635f4d7c431d7055e6, c6d096a2356912e0a5794061c7cd706bebbf95c3, d98a0fa9b65a1b8be0595d7acf9a1d28329cf582, eb94376e01a5f0b70bb6bf8b32ac8af852a7c703. Major bugs fixed: - Testing Improvements and Bug Fixes: Fixed failing tests and refactored academic scraper tests to improve reliability and robustness of the test suite. Commits c2b261aff3a837714b08c3269535bad7871af4f0 and e6984993daa51d77f61249317728e985f8b1bf81. Overall impact and accomplishments: - Business value: The month delivered granular data access for calendar information, improved data ingestion for organizations, and automated event categorization, resulting in faster integrations, better analytics, and an improved user experience. Reliability improvements in the test suite reduce risk for future releases. - Technical accomplishments: API design and expansion, web scraping for data ingestion, AI integration for event categorization, UI/UX enhancements with personalization, and robust testing practices. Technologies/skills demonstrated: - REST API design and data retrieval strategies (weekly/monthly endpoints) - Web scraping and database integration for organizational data - AI/ML integration (OpenAI GPT-3.5-turbo) and backend processing - Frontend UX improvements (filters, dynamic views, safety checks) - Test automation and refactoring for reliability
April 2025
March 2025
8 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for UNLV-CS472-672/2025-S-GROUP3-RebelRemind focusing on end-to-end calendar data automation, API-backed access, and cross-source aggregation. Delivered a robust data pipeline and REST/Flask services that enable reliable university calendar data distribution and efficient downstream integration. Emphasis on maintainability, testing, and collaboration-ready code quality.
March 2025
8 Commits • 3 Features
Mar 1, 2025March 2025 monthly summary for UNLV-CS472-672/2025-S-GROUP3-RebelRemind focusing on end-to-end calendar data automation, API-backed access, and cross-source aggregation. Delivered a robust data pipeline and REST/Flask services that enable reliable university calendar data distribution and efficient downstream integration. Emphasis on maintainability, testing, and collaboration-ready code quality.
Activity
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Quality Metrics
Correctness85.2%
Maintainability84.8%
Architecture81.0%
Performance75.2%
AI Usage24.2%
Skills & Technologies
Programming Languages
CSSHTMLJSONJSXJavaScriptPythonText
Technical Skills
AI IntegrationAPI DevelopmentAPI IntegrationAPI TestingBackend DevelopmentBeautifulSoupCSSChrome Extension DevelopmentData ExtractionData FormattingData ParsingDatabase ManagementDependency ManagementFlaskFlask-RESTful
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