Our Portfolio

Project Overview

This project explores how AI can be integrated into educational experiences while maintaining strict privacy standards. The focus was on creating engaging, safe interactions that respect both user privacy and educational goals.

Key Features

• Privacy-first design with all processing happening on-device
• Multiple AI interaction modes for different learning styles
• Child-safety focused with appropriate parental controls
• Responsive voice interaction with optimized performance
• No data collection or external transmission

Technical Implementation

• SwiftUI with MVVM architecture
• Core ML for on-device AI processing
• AVFoundation for audio capture and playback
• Core Data for local persistence
• Custom AI model training and optimization

Results

• Successful implementation of privacy-first AI
• Demonstrated feasibility of on-device processing
• Positive reception from education-focused audiences
• Valuable learnings about child-safe AI interaction

Project Overview

This project involved developing a platform for managing distributed IoT devices and coordinating their activities across multiple locations. The challenge was creating a system that could handle real-time communication and provide reliable control mechanisms.

Key Features

• Real-time synchronization across distributed devices
• Location-aware management with mapping integration
• Automated scheduling and coordination systems
• Analytics and monitoring dashboards
• Multi-user access with appropriate permissions

Technical Implementation

• SwiftUI with Firebase real-time listeners
• MapKit integration for location services
• Firestore for distributed data management
• Cloud Functions for automated processing
• Push notifications for system alerts

Results

• Successful deployment across multiple locations
• Reliable system performance and stability
• Significant improvements in operational efficiency
• Effective coordination of distributed resources