A compact wearable device paired with a mobile app that enables voice note recording, text conversion, reminders, and translation with offline functionality.
The Challenge
Creating a compact wearable device with accurate voice recognition, offline functionality, and seamless mobile app integration while ensuring data privacy and scalable backend infrastructure.
- Voice recognition variability across diverse accents and speech patterns
- Data privacy concerns with sensitive voice recordings and payment information
- Integration of multiple third-party services (AWS Transcribe, payment gateways)
- Resource-intensive machine learning model training for individual users
- User adoption and consistent engagement with the device and app
- Maintaining offline functionality for up to 2 hours of recording
Projects Details
Industry - Consumer Technology
Services - Wearable Hardware Development, Mobile App Development, Machine Learning Implementation, Cloud Architecture
Timeline - 14 months
Team Size - 9 specialists
Technologies - Golang, Echo Framework, React Native, MongoDB
Our Solution
We developed Senstone, a comprehensive wearable voice note ecosystem combining sleek hardware design with advanced mobile app functionality. The solution features personalized machine learning models, real-time processing, and premium manual review services for enhanced accuracy.
Discovery & Planning
Analyzed requirements, defined architecture, and planned the development approach with stakeholder input.
Development & Integration
Built core functionality, integrated with existing systems, and implemented security measures.
Testing & Refinement
Conducted comprehensive testing, gathered feedback, and refined the solution based on user needs.
Deployment & Support
Deployed the solution, provided training, and established ongoing support processes.
Visual Showcase
Screenshots and interfaces from the final product
