Smart Glass LMS POC

Building a Hands-Free Learning Experience for the Modern Workforce

Traditional training methods often require employees to switch between manuals, mobile devices, and work environments. This interrupts workflows and slows learning, especially in industries where hands-free access to information is essential.

The Smart Glass LMS POC was developed to explore how wearable technology could improve workforce training through live video, remote expert assistance, and AI-powered guidance.

The platform combines Meta Ray-Ban Smart Glasses, a Flutter mobile application, and a modern web dashboard to create an interactive learning experience where field workers can stream their perspective, communicate with remote experts, and access training resources without interrupting their work.

Although developed as a proof of concept, the architecture was designed with scalability in mind and demonstrates how wearable devices can become part of enterprise learning and operational workflows.

Organizations with distributed teams often struggle to deliver consistent training while reducing travel costs and minimizing operational downtime.

Some of the challenges included:

• Delivering hands-free training experiences

• Streaming live video from wearable devices

• Maintaining low-latency communication

• Supporting remote expert collaboration

• Building a responsive web dashboard

• Synchronizing communication across multiple platforms

• Creating a flexible architecture suitable for future AI capabilities

Because Meta Ray-Ban Smart Glasses have a unique ecosystem, integrating wearable hardware with modern web technologies required careful planning and experimentation.

Our team was responsible for the complete proof-of-concept architecture, including product planning, system design, frontend development, mobile application development, backend integration, and real-time communication workflows.

Responsibilities included:

• Technical architecture

• Frontend engineering

• Flutter application development

• Live streaming implementation

• Authentication flows

• LMS dashboard development

• API integration

• Real-time communication

• Performance optimization

• AI integration planning

The solution consists of several connected applications working together.

Web Dashboard

A modern web application where administrators, trainers, and supervisors can:

• Manage training sessions

• Monitor live streams

• View participants

• Access recorded sessions

• Organize learning materials

• Track training activities

Mobile Application

A Flutter application acts as the bridge between Meta Ray-Ban Smart Glasses and the web platform.

Capabilities include:

• Device connectivity

• Live video streaming

• Audio transmission

• Session management

• Authentication

• Remote communication

Live Collaboration

Workers wearing smart glasses can stream their perspective while supervisors provide guidance in real time.

This enables:

• Remote inspections

• Live troubleshooting

• Field assistance

• Practical training

• Knowledge sharing

Several architectural decisions were made to ensure flexibility and long-term maintainability.

These included:

• Separating the web dashboard from the mobile application

• Using real-time communication services for low-latency streaming

• Building reusable frontend components

• Designing API-first communication

• Preparing the architecture for AI integrations

• Keeping the platform cloud-ready

• Maintaining clear separation between presentation, business logic, and communication layers

The platform follows a modular architecture designed for future expansion.

Frontend

• Next.js 16

• React 19

• TypeScript

• Tailwind CSS

• Responsive dashboard

Mobile

• Flutter

• Dart

• Agora SDK integration

Backend & Services

• Supabase

• Authentication

• Database

• Real-time services

Communication

• LiveKit

• Agora

• WebRTC

AI Ready

The architecture was prepared for future AI capabilities, including:

• Voice assistance

• Context-aware guidance

• Knowledge retrieval

• AI-powered recommendations

• Intelligent training support

The proof of concept was designed with production scalability in mind.

Future enhancements could include:

• Multi-organization support

• Role-based permissions

• Large-scale concurrent sessions

• Session recording and playback

• AI-powered training assistants

• Enterprise identity providers

• Cloud-native deployment

• Analytics dashboards

• Device fleet management

Security considerations included:

• Secure authentication

• Protected API communication

• Session-based authorization

• Encrypted data transmission

• Secure media streaming

• Environment-based configuration

• Role-based access planning

Future enterprise implementations could incorporate SSO, audit logs, and compliance requirements based on industry needs.

Performance was prioritized to support real-time communication.

Optimizations included:

• Efficient React rendering

• Optimized Flutter application performance

• Reduced unnecessary network requests

• Low-latency streaming configuration

• Component-level optimization

• Responsive UI architecture

Although created as a proof of concept, the platform demonstrates how wearable technology can improve operational efficiency across multiple industries.

Potential business benefits include:

• Faster employee onboarding

• Reduced travel costs

• Consistent training experiences

• Remote expert support

• Increased productivity

• Hands-free information access

• Better knowledge sharing

• Lower operational downtime

• Improved workforce collaboration

The solution also provides a foundation for organizations exploring digital transformation through wearable devices and AI-assisted workflows.

Building software for wearable devices introduces challenges beyond traditional web and mobile development.

Key lessons included:

• Hardware limitations influence software architecture.

• Real-time communication requires careful optimization.

• User experience is critical when users cannot interact directly with a screen.

• AI has significant potential to enhance wearable training experiences.

• Modular architectures make future experimentation much easier.

Possible future enhancements include:

• AI training assistant

• Voice-controlled navigation

• Automatic meeting summaries

• Object recognition

• OCR document reading

• Live language translation

• AI-powered troubleshooting

• Knowledge base integration using RAG

• Enterprise LMS integration

• Session analytics

• Offline synchronization

• Multi-device support