completedFeatured

Nordvertise Ad Platform

Nordvertise is a revolutionary advertising platform designed specifically for taxis, kiosks, and tablets. The platform combines cutting-edge machine learning technology with robust offline capabilities to deliver intelligent advertising solutions that adapt to real-world conditions.

1,000+
Active Installations
2023
Year Completed
8 months
Development Time
4
Team Members

My Role

Lead Flutter Developer & ML Engineer

The Challenge

Traditional advertising in transport and public spaces lacked real-time analytics and sentiment analysis. Existing solutions couldn't handle offline scenarios common in mobile advertising, and there was no way to measure audience engagement effectively.

The Solution

Built a comprehensive Flutter-based platform that leverages Azure ML and Firebase for real-time sentiment analysis, offline caching, and seamless data synchronization. Integrated Power BI dashboards for actionable insights and developed a robust backend architecture to handle high-volume ad scheduling and analytics.

Key Features

Real-time facial expression analysis using ML Kit
Offline-first architecture with smart synchronization
Power BI integration for advanced analytics
Dynamic ad scheduling based on audience data
Multi-platform deployment (tablets, kiosks, mobile)
Azure Cognitive Services integration
Automated report generation
Role-based access control

Technical Highlights

Implemented offline-first architecture using Hive local storage
Built custom ML pipeline for sentiment analysis with 85% accuracy
Designed scalable backend architecture handling 10M+ requests/day
Created real-time synchronization system with conflict resolution
Integrated Azure Cognitive Services for advanced computer vision
Developed custom analytics dashboard using Power BI APIs

Results & Impact

1000+ active installations across multiple markets
99.9% uptime with offline-first architecture
40% improvement in ad engagement through ML-powered optimization
Real-time sentiment analysis with 85% accuracy
Reduced operational costs by 30% through automation

Technologies Used

FlutterAzure MLFirebasePower BIML KitAzure Cognitive ServicesNode.jsMongoDB

Project Links