DataBytes-Organisation/Katabatic
Apr 2025 – Apr 2025
1 Month active
Languages Used
CSSHTMLJavaScriptPython
Technical Skills
Backend DevelopmentData ScienceFlaskFrontend DevelopmentMachine LearningWeb Development
palak
PROFILE
Palak
Developed a Flask-based frontend UI for the palakbedi4_gamblr synthetic data generation platform, delivering a cohesive web application that serves as an entry point for users and stakeholders. The work, contributed to the DataBytes-Organisation/Katabatic repository, included modular routes for Home, About, Services, and Contact pages, as well as model-specific interfaces supporting Glanblr, CTGAN, and Meg workflows. Leveraging Python, JavaScript, and HTML, the developer implemented file upload functionality for data preprocessing, integrated backend connections to machine learning libraries, and enabled end-to-end pipelines for model training, synthetic data generation, and visualization, establishing a scalable architecture for future model integrations.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
1,530
Activity Months1
Your Network
18 peopleWork History
April 2025
1 Commits • 1 Features
Apr 1, 2025Delivered end-to-end Flask frontend UI for the palakbedi4_gamblr synthetic data generation platform, providing a cohesive entry point (Home, About, Services, Contact) and model-specific interfaces. Implemented modular routes and interfaces to manage data preprocessing (uploads), model training, synthetic data generation, and visualization, with backend integration to ML libraries for execution across multiple models (Glanblr, CTGAN, Meg). Established a scalable Flask architecture with clean API endpoints to support future model integrations and surface-ready workflows for users and stakeholders.
1 Commits • 1 Features
Apr 1, 2025Delivered end-to-end Flask frontend UI for the palakbedi4_gamblr synthetic data generation platform, providing a cohesive entry point (Home, About, Services, Contact) and model-specific interfaces. Implemented modular routes and interfaces to manage data preprocessing (uploads), model training, synthetic data generation, and visualization, with backend integration to ML libraries for execution across multiple models (Glanblr, CTGAN, Meg). Established a scalable Flask architecture with clean API endpoints to support future model integrations and surface-ready workflows for users and stakeholders.
April 2025
Activity
Loading activity data...
Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptPython
Technical Skills
Backend DevelopmentData ScienceFlaskFrontend DevelopmentMachine LearningWeb Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline