This project is focused on developing an AI-driven retail platform using the MERN stack (MongoDB, Express.js, React.js, Node.js) to revolutionize the healthcare sector. The platform is designed to streamline product management, order tracking, and user engagement, ensuring a smooth experience for buyers, sellers, and administrators. With features like dynamic category management, personalized product recommendations, and affiliate marketing, it simplifies the journey from discovery to purchase while improving operational efficiency.

A staffing agency required a web-based platform to streamline candidate profile generation with a professional, branded layout. The goal was to simplify the process of inputting candidate details, resume parsing, talent scoring, and PDF generation. This tool needed to ensure consistency, branding compliance, and efficiency in preparing candidate profiles for client distribution.

This system was designed to:

• Automate candidate data entry and resume parsing.
• Provide a structured scoring system for assessing candidates.
• Allow recruiters to add insights based on predefined templates.
• Enable profile editing, secure storage, and PDF export with agency branding.
• Ensure a mobile-responsive and user-friendly experience.

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.