Intelligent-Advisor-Sem-4/backend
Apr 2025 – May 2025
2 Months active
Languages Used
Python
Technical Skills
API DevelopmentData AnalysisFastAPIMachine LearningPydanticScikit-learn
sivanathan vithurshan
PROFILE
Sivanathan Vithurshan
Vithurshan developed end-to-end stock price prediction features for the Intelligent-Advisor-Sem-4 repository, delivering both backend APIs and a frontend dashboard within two months. He architected a FastAPI-based prediction service using Python, integrating machine learning models with robust input validation via Pydantic and error handling for reliability. On the backend, he expanded API endpoints to support stock data retrieval, model training, and prediction persistence, while standardizing configuration and improving database integration with SQLAlchemy. For the frontend, he built a React and TypeScript dashboard to visualize historical data, predictions, and model metrics, enabling users to interactively explore stock insights and export results.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
24Total
Bugs
1
Commits
24
Features
5
Lines of code
4,471
Activity Months2
Your Network
33 people
Work History
May 2025
23 Commits • 4 Features
May 1, 2025Month: 2025-05 — Monthly work summary for Intelligent-Advisor-Sem-4 focusing on backend and frontend efforts around stock data API expansion, prediction capability, model monitoring, infrastructure hardening, and a user-facing dashboard. Delivered end-to-end functionality with secure configuration, improved reliability, and a user-facing dashboard; notes include a minor bug fix in the prediction library. Business value delivered includes faster time-to-value for stock insights, more reliable predictions, and improved operability.
23 Commits • 4 Features
May 1, 2025Month: 2025-05 — Monthly work summary for Intelligent-Advisor-Sem-4 focusing on backend and frontend efforts around stock data API expansion, prediction capability, model monitoring, infrastructure hardening, and a user-facing dashboard. Delivered end-to-end functionality with secure configuration, improved reliability, and a user-facing dashboard; notes include a minor bug fix in the prediction library. Business value delivered includes faster time-to-value for stock insights, more reliable predictions, and improved operability.
May 2025
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 backend work focused on delivering a scalable Stock Price Prediction API with robust input validation and ML integration. Initiated the API surface (prediction endpoint) with strong error handling and reusable data models.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 backend work focused on delivering a scalable Stock Price Prediction API with robust input validation and ML integration. Initiated the API surface (prediction endpoint) with strong error handling and reusable data models.
Activity
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Quality Metrics
Correctness82.4%
Maintainability81.8%
Architecture80.6%
Performance74.2%
AI Usage24.2%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPythonTypeScript
Technical Skills
API ConfigurationAPI DevelopmentAPI IntegrationAsynchronous ProgrammingBackend DevelopmentCORS MiddlewareComponent DevelopmentConfiguration ManagementData AnalysisData EngineeringData HandlingData ManagementData ScienceData VisualizationDatabase Integration
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline
Intelligent-Advisor-Sem-4/frontend
May 2025 – May 2025
1 Month active
Languages Used
CSSHTMLJavaScriptTypeScript
Technical Skills
API IntegrationComponent DevelopmentConfiguration ManagementData VisualizationFrontend DevelopmentNext.js