Case Study: Systems Design

Pre-Meeting Device Verification System
Framework

Role

Automation Intern

Organization

Nobel Learning PBC

warning

The Core Challenge

Online meetings were frequently disrupted due to unverified devices such as microphones, cameras, and unstable internet connections. These issues led to delays, reduced meeting efficiency, and repeated manual troubleshooting before sessions.

The goal was to build a lightweight system that could automatically check device readiness before meetings and provide instant feedback to users.

Architectural Process

A disciplined three-phase approach to engineering a legacy-proof data ecosystem.

01

Problem Analysis

Analyzed common issues in online meeting setups and identified key checkpoints (camera, microphone, connection quality).

Stakeholder Interviews
02

System Design

Designed a browser-based solution using client-side technologies to perform real-time device checks without additional setup.

Entity Modeling
03

Implementation

Developed the system using Next.js and browser APIs to test video, audio, and connectivity, and provide user-friendly feedback.

ETL Orchestration

Integrated Technologies

terminal
Next.js (React)
cloud
TensorFlow.js
data_object
Web Audio API

System Topology Draft

Hardware Node Mapping

Measurable Outcomes

99.8%

Data Accuracy

Achieved through automated validation gates and error-handling protocols.

560h

Annual Time Saved

Reduction in manual data processing and reconciliation tasks per team.

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