
Konrad Seime developed and enhanced real-time voice interaction features for the CogitoNTNU/jarvis repository, focusing on speech-to-text integration and user experience improvements. He implemented a socket-based audio recording pipeline using JavaScript and Python, enabling hands-free operation and reliable transcription with silence detection and chunked uploads. Konrad refactored modules for maintainability, extended recording durations, and improved session-aware task creation to ensure accurate workflow association. He also addressed UI feedback and branding, streamlined dependency management, and maintained repository hygiene with Git. His work demonstrated depth in backend and frontend development, audio processing, and code organization, resulting in robust, production-ready voice capabilities.

March 2025 — CogitoNTNU/jarvis: Key accomplishments and business impact. Delivered feature enhancements, critical bug fix, UI maintainability improvements, and code cleanup to reduce technical debt. Key features include extending recording duration to enable longer audio captures, and a UI/flow improvement for session-aware task creation. Major cleanup trimmed unused dependencies in the speech-to-text pipeline. Overall impact: longer, more reliable recordings; correct session association improves task traceability and user experience; reduced deployment footprint and maintenance overhead. Technologies demonstrated include Python back-end changes, JavaScript UI refactor patterns, and dependency hygiene.
March 2025 — CogitoNTNU/jarvis: Key accomplishments and business impact. Delivered feature enhancements, critical bug fix, UI maintainability improvements, and code cleanup to reduce technical debt. Key features include extending recording duration to enable longer audio captures, and a UI/flow improvement for session-aware task creation. Major cleanup trimmed unused dependencies in the speech-to-text pipeline. Overall impact: longer, more reliable recordings; correct session association improves task traceability and user experience; reduced deployment footprint and maintenance overhead. Technologies demonstrated include Python back-end changes, JavaScript UI refactor patterns, and dependency hygiene.
February 2025 (CogitoNTNU/jarvis): Delivered a real-time audio recording pipeline with socket-based initiation and an end-to-end speech-to-text flow. Implemented client-side recording via MediaRecorder with silence detection, and automatic chunked uploads to a dedicated speech-to-text endpoint. Added stop recording functionality and a stabilization fix to prevent duplicate socket declarations, significantly improving reliability and readiness for real-time transcription in production.
February 2025 (CogitoNTNU/jarvis): Delivered a real-time audio recording pipeline with socket-based initiation and an end-to-end speech-to-text flow. Implemented client-side recording via MediaRecorder with silence detection, and automatic chunked uploads to a dedicated speech-to-text endpoint. Added stop recording functionality and a stabilization fix to prevent duplicate socket declarations, significantly improving reliability and readiness for real-time transcription in production.
Month 2024-11: Delivered a cohesive set of improvements for voice-enabled interactions, UI feedback, branding, and repository hygiene. The work emphasizes business value through reliability, user experience, and cleaner code history.
Month 2024-11: Delivered a cohesive set of improvements for voice-enabled interactions, UI feedback, branding, and repository hygiene. The work emphasizes business value through reliability, user experience, and cleaner code history.
October 2024 — Delivered hands-free interaction capability for the Jarvis system and improved maintainability through module reorganization. Implemented speech-to-text voice input support by restructuring modules to a top-level speech_to_text directory, updating imports for cross-module accessibility, and adding a microphone-based recording flow that converts speech to text for Jarvis.
October 2024 — Delivered hands-free interaction capability for the Jarvis system and improved maintainability through module reorganization. Implemented speech-to-text voice input support by restructuring modules to a top-level speech_to_text directory, updating imports for cross-module accessibility, and adding a microphone-based recording flow that converts speech to text for Jarvis.
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