
Srilakshmi Nair developed a unified UI and analytics upgrade for the DataBytes-Organisation/Intelligent-IoT-Data-Management platform, focusing on enhancing user experience and real-time data monitoring. She implemented a modular React frontend with theme switching, responsive design, and a maintainable component-based architecture using JavaScript and CSS. Her work introduced a new IoT anomaly detection component that supports real-time monitoring, anomaly detection, and correlation analysis, enabling faster interpretation of IoT metrics. By improving data visualization and navigation, Srilakshmi established a scalable UI/UX foundation that supports future feature growth and streamlines operational workflows, demonstrating depth in frontend engineering and data-driven interface design.

March 2025 delivered a major UI and analytics upgrade for the DataBytes IoT Data Management platform. The initiative focused on user experience, real-time monitoring, and scalable analytics to accelerate decision-making and reduce operational toil.
March 2025 delivered a major UI and analytics upgrade for the DataBytes IoT Data Management platform. The initiative focused on user experience, real-time monitoring, and scalable analytics to accelerate decision-making and reduce operational toil.
Overview of all repositories you've contributed to across your timeline