Verticals
Automotive/Bike Mobility
Bridging Mobility and Innovation
Key projects highlight expertise in combining sensor data, machine learning, and real-time decision-making:
Self-Driving LEGO® Car (Concept): Demonstrates an adaptive control system using mobile-based vision and navigation—showcasing scalable designs for both consumer and experimental platforms.
AI Security Micro-Drone (Article): An autonomous drone capable of monitoring environments, uploading real-time footage, and detecting anomalies. The design reflects expertise in complex navigation and object detection—core components of self-driving algorithms.
DrunkWatch (Article): A wearable app that analyzes walking patterns, biosensor data, and handwriting to assess driving safety, using real-time inferences for user alerts—a concept directly applicable to driver state detection systems.
Enhancing Infotainment Through Smart Integrations
In addition to autonomous systems, the following projects focus on enhancing user engagement and connected experiences:
TimeMap: Maps calendar events to real-world routes and provides contextual location-based suggestions, which could enhance in-car navigation experiences by visualizing itineraries and syncing with infotainment.
Breathe Time (Yoga & Meditation Watch App): WearOS app designed for mindfulness, demonstrating the integration of biosensor feedback for health optimization—a feature that could complement in-cabin wellness monitoring.
Mobile, BLE, and Machine Learning Proficiency
The open-source project BasePro demonstrates cross-platform architecture for Android and iOS, BLE integration, and real-time data aggregation—critical for vehicle-to-device communication. BLE expertise has also been applied in other projects like K BeautifuLE, which optimizes communication protocols for low-latency performance.
Health / Wearable
Pioneering AI/ML-Powered Health Solutions
Innovative health and wellness projects have harnessed the power of AI/ML to create real-time insights and proactive solutions:
Hummingbird Fuel (Website: https://www.hummingbirdfuel.com/): Provides personalized microdosing schedules for medication, starting with caffeine and evolving into broader health interventions.
DrunkWatch (Article: https://zoewave.medium.com/life-saving-watchos-ml-app-c9fde03e79cf): Analyzes biosensors, walking patterns, and handwriting to detect intoxication levels, preventing impaired driving.
Photodo (Projects Page: https://www.gnseven.com/projects): An AI-based to-do list app using photo and voice recognition to automatically detect and organize tasks.
These projects highlight expertise in combining wearable data, machine learning models, and mobile sensors to deliver user-centric, real-time solutions—similar to Oura’s approach to tracking wellness patterns and physiological signals.
Hardware-Software Integration for Wearable Tech
Seamlessly integrating mobile platforms with hardware has been pivotal to building innovative experiences:
AI Security Micro-Drone (Article: https://zoewave.medium.com/autonomous-home-security-micro-drone-df989ea02075): An autonomous drone capable of home surveillance, using image recognition to detect environmental changes and notify homeowners.
Self-Driving LEGO® Car (Design Docs: https://zoewave.medium.com/self-driving-lego-car-concept-c3a50e72cccc): A proof of concept for a vision-based self-driving system controlled by a smartphone.
These projects illustrate proficiency in hardware communication protocols and sensor-based decision-making—critical for optimizing the performance and accuracy of wearable devices.
User-Centric Product Design and UX Optimization
Strong product design principles ensure that even the most complex AI/ML processes are intuitive for users:
AshBike (Website: https://www.ashbike.com/): Tracks fitness data via Google Fit and Apple Health to optimize ride routes and rewards users with NFTs for choosing eco-friendly transportation.
RxTrack: A medication adherence app that plans to incorporate AI/ML reminders based on user behavior and biometric data.
These apps showcase a data-driven ethnographic approach to UX, ensuring that each feature is designed with the end-user journey in mind.
BLE and Health Data Expertise
Developing efficient BLE communication systems is essential for low-latency, real-time monitoring in health wearables. The K BeautifuLE Project (https://zoewave.medium.com/kotlin-beautiful-low-energy-ble-91db3c0ab887) exemplifies expertise in Bluetooth Low Energy, showcasing optimized data exchange for reliable sensor communication. This experience directly aligns with Oura’s reliance on BLE for seamless connectivity and data syncing.
Expanding the Future of Health Monitoring
Current work also includes research into personalized AI-based health guidance systems:
AI Appliance Nutritionist (Article: https://zoewave.medium.com/ai-ml-appliance-nutritionist-8d9f8a1c84d5): An integrated system that offers personalized meal planning based on user data and available ingredients.
This demonstrates a vision for expanding digital health solutions into areas such as nutrition, fitness, and recovery, complementing Oura’s holistic approach to wellness.
Home Automation
AI Security Micro-Drone (Article): An autonomous surveillance system that uploads footage and alerts users to changes, demonstrating object detection, anomaly detection, and remote control.
AI Appliance Nutritionist (Article): A smart assistant that integrates with kitchen appliances for personalized meal planning, reflecting expertise in smart appliance interconnectivity.
House Modes System: Capable of controlling appliances, security, and climate settings to adapt to user schedules—a key aspect of intuitive smart home management.
Frameworks/Tools
Mobile and Wearable Development Expertise
Deep expertise in native declarative frameworks has enabled the development of efficient, highly responsive apps:
Android: Kotlin, Jetpack Compose, Health Connect, Material Design 3 for cohesive UI and sensor integration (BLE Project: https://zoewave.medium.com/kotlin-beautiful-low-energy-ble-91db3c0ab887).
iOS: Swift, SwiftUI, SwiftData, and structured concurrency for real-time updates and background processes.
To showcase these skills, the open-source project BasePro (https://github.com/developerY/BasePro) was built as a robust template for mobile and WearOS development. It demonstrates BLE integration, modular architecture, and seamless sensor communication—ideal for health apps that require constant, reliable data streams.
G.N.Seven is engaged in developing innovative mobile applications that integrate artificial intelligence (AI) and machine learning (ML) to enhance user experience and productivity. Here are some of their notable projects:
Photodo: An AI-powered to-do application that allows users to create task lists using their camera and voice. By capturing a photo or recording a voice memo, Photodo identifies the task, sets deadlines, suggests local assistance, and tracks budgets, functioning as a personal assistant on your smartphone.
TimeMap: This application maps your Google Calendar events onto Google Maps, providing a visual representation of your schedule. Future enhancements aim to include multi-person calendar mapping and real-time, in-route coupons based on events, routes, and user preferences.
RxTrack: An Android application designed to help users monitor their medication intake. Upcoming updates plan to incorporate AI and ML features to enhance tracking and adherence.
Go Swift: A shared biking application that promotes fitness and environmental sustainability. It integrates with health data and calendars to reward users with NFTs for their activities. The app is available on Android, with an iOS version forthcoming.
Go Swift WearOS App: A companion application for WearOS devices, offering a customized watch face that complements the Go Swift biking experience.
Breathe Time: A yoga and meditation application for WearOS, designed to assist users in managing stress and enhancing mindfulness through guided sessions.
K BeautifuLE (K BLE): A project focused on developing beautiful Bluetooth Low Energy (BLE) applications using Kotlin, aiming to streamline and improve BLE development practices.
These projects reflect G.N.Seven's commitment to leveraging AI and ML technologies to create smart, user-friendly mobile solutions that cater to various aspects of daily life. For more information, visit their Projects Page.
