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.

In today’s fast-evolving workplace, organizations require an HR management system that not only streamlines operations but also prioritizes employee well-being. A next-generation HR platform with AI-driven automation helps businesses efficiently manage HR processes while ensuring employees’ mental health remains a core focus. By integrating advanced features such as payroll management, leave tracking, a Learning Management System (LMS), an Applicant Tracking System (ATS), and seamless connectivity with tools like Okta, Microsoft Teams, and Slack, such a system enhances efficiency, engagement, and overall workforce productivity.

The primary objective of the platform is to transform the neuro clinic’s data into an intelligent, and research-enabling asset by implementing a Clinical Decision Support and Research System (CDSS) that consolidates patient, operational, and financial information into one secure, analytics-driven environment. The solution provides real-time insights for clinical decision-making, research enablement, and revenue visibility, ensuring HIPAA-compliant data governance. It will also streamline operational workflows by automating performance tracking, monitoring patient flow, and improving scheduling efficiency, while strengthening financial management through comprehensive visibility into revenue, billing accuracy, and payer mix analysis.