continuousactivelearning/vibe
Jun 2025 – Jul 2025
2 Months active
Languages Used
JavaScriptPythonTypeScript
Technical Skills
AI/ML Model IntegrationAPI DevelopmentAudio ProcessingBackend DevelopmentDependency ManagementDocker
JaskiratSingh10
PROFILE
Jaskiratsingh10
Developed and maintained the continuousactivelearning/vibe repository, delivering an end-to-end GenAI video transcription and segmentation module that supports YouTube downloads, audio extraction, Whisper-based transcription, and AI-driven segmentation. The work established a robust backend using Node.js, Python, and TypeScript, integrating ONNX Runtime for scalable processing and laying the foundation for PDF text extraction and model generation workflows. Additionally, addressed backend reliability by fixing AI server port configuration, ensuring correct routing and improved maintainability. The approach emphasized modular backend architecture, configuration management, and clear documentation, resulting in a maintainable codebase that supports both feature expansion and operational stability.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
3Total
Bugs
1
Commits
3
Features
1
Lines of code
31,038
Activity Months2
Your Network
58 peopleSame Organization
@iitrpr.ac.in2
Work History
July 2025
1 Commits
Jul 1, 2025July 2025 monthly summary focusing on stabilizing AI server connectivity and configuration across the vibe repository, with a targeted bug fix that prevents misrouting to the AI server. This work enhances reliability and aligns with deployment docs for maintainability.
1 Commits
Jul 1, 2025July 2025 monthly summary focusing on stabilizing AI server connectivity and configuration across the vibe repository, with a targeted bug fix that prevents misrouting to the AI server. This work enhances reliability and aligns with deployment docs for maintainability.
July 2025
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025: Delivered a GenAI video transcription and segmentation module with end-to-end backend support (YouTube download, audio extraction, Whisper transcription, and AI-based segmentation) and groundwork for PDF text extraction plus ONNX model generation scripts to enable scalable processing and downstream workflows. Also introduced initial content generation capability for a section to demonstrate downstream generation. No major bug fixes reported this month; primary focus was feature development and architectural enhancements.
June 2025
2 Commits • 1 Features
Jun 1, 2025June 2025: Delivered a GenAI video transcription and segmentation module with end-to-end backend support (YouTube download, audio extraction, Whisper transcription, and AI-based segmentation) and groundwork for PDF text extraction plus ONNX model generation scripts to enable scalable processing and downstream workflows. Also introduced initial content generation capability for a section to demonstrate downstream generation. No major bug fixes reported this month; primary focus was feature development and architectural enhancements.
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture90.0%
Performance80.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
JavaScriptPythonTypeScript
Technical Skills
AI/ML Model IntegrationAPI DevelopmentAudio ProcessingBackend DevelopmentConfiguration ManagementDependency ManagementDockerError HandlingExpress.jsFile HandlingGenAI IntegrationMachine Learning Model IntegrationNode.jsONNX RuntimePython
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline