
Worked on the Learning-Mode-AI/Learning-Mode-AI repository to deliver three core features focused on enhancing user experience and data reliability. Improved quiz navigation by refining question sequencing, enabling rewind, and aligning questions with video timestamps, while also stabilizing pause behavior. Enhanced the learning mode toggle with CSS animations and updated UI assets for a more engaging interface. Standardized data retention by extending Redis TTL and implementing RFC3339 timestamp parsing for consistent session tracking. Utilized React, JavaScript, and Redis to address both frontend and backend requirements, demonstrating a systematic, commit-driven approach to UI/UX development and operational code hygiene throughout the project.
March 2025 monthly summary for Learning-Mode-AI/Learning-Mode-AI focused on delivering core UX enhancements, improving data reliability, and polishing UI interactions to drive user engagement and reliable analytics. Three principal features were delivered, several critical bug fixes completed, and data/timestamp handling standardized for better longitudinal tracking across sessions.
March 2025 monthly summary for Learning-Mode-AI/Learning-Mode-AI focused on delivering core UX enhancements, improving data reliability, and polishing UI interactions to drive user engagement and reliable analytics. Three principal features were delivered, several critical bug fixes completed, and data/timestamp handling standardized for better longitudinal tracking across sessions.

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