CSA-Coders-2025/CSA_Combined_Frontend_Fork
Jun 2025 – Jun 2025
1 Month active
Languages Used
CSSHTMLJavaScriptJupyter NotebookPython
Technical Skills
API DevelopmentCSSData ScienceDocumentationFlaskFront-end Development
tarunrayavarapu
PROFILE
Tarunrayavarapu
During June 2025, Tarun Rayavarapu developed user-facing predictor interfaces for the CSA_Combined_Frontend_Fork repository, focusing on both frontend and backend improvements. He built three new UI pages for AP and Grade prediction, implementing dark mode for consistent user experience and enhancing the exam predictor with time-stamped scoring for greater accuracy. Tarun addressed cross-origin resource sharing issues to ensure stable API integration, using technologies such as JavaScript, Python, and Flask. He also produced comprehensive backend and model documentation for the Grade Predictor, supporting onboarding and maintainability. The work demonstrated depth in both UI/UX design and robust API development practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
2,806
Activity Months1
Your Network
188 people
Work History
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for CSA_Combined_Frontend_Fork focusing on delivering user-facing predictor UI, backend documentation, and stability improvements. Highlights include three new UI pages with theme parity (dark mode), time-based scoring enhancement for exam predictor, and comprehensive Grade Predictor backend/model documentation. Resolved cross-origin issues enabling stable API integration and smoother deployment.
3 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for CSA_Combined_Frontend_Fork focusing on delivering user-facing predictor UI, backend documentation, and stability improvements. Highlights include three new UI pages with theme parity (dark mode), time-based scoring enhancement for exam predictor, and comprehensive Grade Predictor backend/model documentation. Resolved cross-origin issues enabling stable API integration and smoother deployment.
June 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptJupyter NotebookPython
Technical Skills
API DevelopmentCSSData ScienceDocumentationFlaskFront-end DevelopmentFrontend DevelopmentHTMLJavaScriptMachine LearningPythonScikit-learnUI/UX Design
Repositories Contributed To
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