
Developed end-to-end logistics visualization and notification features across Sreedhar1729/D and SAPviswam/rf_app, focusing on operational efficiency. Built a unified 3D container loading and visualization system using JavaScript and Three.js, incorporating dynamic truck tiling, stacking, collision logic, and enhanced data modeling for accurate material calculations. Designed a cargo visualization UI with responsive charts to display volume, weight, and remaining capacity, supporting data-driven decisions. Integrated Twilio-based SMS notifications for supervisor password update approvals, adding a new sendSms function. Refined data models and charting logic to improve calculation accuracy and performance, demonstrating depth in 3D rendering, data visualization, and API integration.
December 2024 delivered end-to-end visualization and notification capabilities to support logistics planning and operational efficiency. Key work spanned two repositories, delivering (1) a unified 3D container loading and visualization feature with truck-type tiling, stacking/collision logic, 3D rendering, and enhanced data models for material data and calculations; (2) cargo visualization UI with charts showing volume, weight, and remaining capacity, including pie charts and responsive sizing; and (3) SMS-based supervisor notifications for password update approvals via Twilio. The month also included data-model cleanup to remove gaps and improve calculation accuracy, and charting refinements to support faster, data-driven decisions.
December 2024 delivered end-to-end visualization and notification capabilities to support logistics planning and operational efficiency. Key work spanned two repositories, delivering (1) a unified 3D container loading and visualization feature with truck-type tiling, stacking/collision logic, 3D rendering, and enhanced data models for material data and calculations; (2) cargo visualization UI with charts showing volume, weight, and remaining capacity, including pie charts and responsive sizing; and (3) SMS-based supervisor notifications for password update approvals via Twilio. The month also included data-model cleanup to remove gaps and improve calculation accuracy, and charting refinements to support faster, data-driven decisions.

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