HALO is a child-focused health and safety wearable ecosystem designed for families, combining a smart wearable device (HALO Lytt) with a companion mobile application. The platform enables parents to monitor essential health vitals and receive timely alerts while preserving children’s privacy through role-based access and features like Ghost Mode

This project is an AI/ML-powered data extraction tool designed to automate the pre-construction estimation process, specifically for doors in architectural projects. The tool efficiently extracts door-related data from various architectural documents, including Floor Plans, Enlarged Plans, Door Schedules, Elevations, and Hardware Specification Documents.

The project aims to develop a web-based dynamic survey platform designed to capture consumer lifestyle preferences and habits. The survey will consist of four sections with approximately 20 questions and will incorporate conditional logic, ensuring that questions adapt based on user responses. If a respondent selects "yes" to a specific question, additional relevant questions will follow, while a "no" response will allow them to proceed to the next section. The survey should be easily accessible via email invitations or be completed directly by operators, ensuring flexibility in data collection.

The system should support data retrieval, reporting, and potential integration with marketing automation tools, making it a scalable and user-friendly solution for consumer engagement.