verytechnology.com

Development of a mobile application supporting event management, maintenance requests, and rent payment functionalities, integrated with external APIs and backend systems.

Design and develop a system that collects machine operational data via edge devices, processes data in the cloud for anomaly detection, and presents insights through a user-friendly web interface.

Build an IoT ecosystem that integrates hardware sensors, firmware, and mobile applications to enable real-time monitoring and control of aquarium conditions, ensuring a minimum marketable product that can be expanded with additional features later.

Design and build a native mobile app supporting Bluetooth communication with smart breathalyzers, multi-user roles, real-time data transmission, visual test verification, and notification features, with robust error handling and device management capabilities.

Design and develop an end-to-end data science system encompassing data ingestion, transformation, storage, machine learning model development, evaluation, and deployment, with strong versioning and scalability features.

Build a comprehensive platform combining customer relationship management (CRM), accounting integration, and automation of complex business logic to support client onboarding, transaction processing, and communication workflows.

Design and develop a mobile application that supports product search and aggregation, user collections, multimedia content, and affiliate linking, with an emphasis on an intuitive UI and seamless cross-platform support.

Build an integrated platform combining content management, e-commerce, online learning, and voice assistant capabilities, supporting rapid deployment and scalable growth.

The platform must support participant registration, social voting, communication management, and event oversight within a flexible, scalable environment.

Design a comprehensive IoT monitoring system comprising custom sensor nodes, reliable wireless communication, and embedded analytics for predictive maintenance.

Development of an IoT-enabled secure lockbox with remote management, real-time notifications, temperature sensing, and dual connectivity options for local control and cloud-based management.

Design a compact, low-power hardware platform featuring GPS, cellular communication, motion sensors, accelerometers, and a microcontroller, with custom enclosure and mechanical integration, supporting rapid prototyping and iterative enhancement.

Development of an integrated platform that manages real-time and historical energy data, supports remote device management, and provides user-configurable energy saving goals with alerting capabilities.

Design and implement an integrated hardware and software system that enables facial recognition-based identification, real-time transaction tracking, and remote configuration management, supporting multiple beverage taps.

The system must facilitate reliable device-to-cloud communication, support automated build and deployment workflows, enable efficient service scaling, and ensure continuous code quality verification.

Develop a secure, high-performance web app that mirrors native app features, including live video streaming, sensor data visualization, real-time notifications, and remote device control, designed for parent users on various browsers and devices.

A comprehensive security system integrating facial recognition, badge verification, real-time monitoring, and responsive physical access controls through turnstiles and detectors, all linked via an IoT infrastructure.

Develop an integrated system comprising local data collectors, a centralized cloud database, and a web-based dashboard that visualizes power metrics, supports real-time alerts, and allows data analysis.

A secure platform that allows rapid lookup of encrypted patient records stored on wearable devices, accessible via scanning QR codes or searching by patient ID, with real-time data updates from healthcare facilities.

The application must connect to the wearable sensors via APIs, present health data through a structured UI, support sharing functionalities, and incorporate user feedback mechanisms for continuous improvement.

A comprehensive system that ingests real-time communication data, analyzes textual and behavioral features, detects deviations from normal communication patterns, and predicts potential burnout and turnover risks.