Real estate agents spend a significant portion of their day on phone calls – following up with leads, booking property visits, and confirming client preferences. The client, a mid-sized real estate agency, was struggling with missed follow-ups, delayed responses, and scattered call logs.
To address this, we built a smart inbound-outbound calling agent that acts like a virtual assistant. Integrated directly with the client’s CRM and calendar, the agent automatically places calls, captures lead details, books appointments, and updates records in real time – all while keeping the human agent in control.

The Chat project involves the implementation of dynamic and interactive data visualization features, specifically focusing on Bar Charts and Pie Charts. These charts are designed to display multiple measures with customizable display options, enhancing the user's ability to analyze and interpret data effectively.

The application is developed to manage various functions of an online store, including user authentication, inventory control, sales tracking, and reporting. It also supports automated email and SMS notifications. The system is built using Angular for the frontend and Node.js for the backend, with full support for multilingual usage, including RTL and LTR display for Arabic and English.