E-Hakeem is an innovative web application designed to assist users in understanding their symptoms through a conversational interface. By utilizing a decision tree model, the app asks targeted questions that guide users toward a diagnosis based on their responses. This intuitive approach allows individuals to navigate their health concerns easily, making it a valuable resource for those seeking clarity about their symptoms.

Incorporating the principles of Hikmat (Unani), E-Hakeem offers four tailored recommendations aimed at helping users manage their health effectively: 1) Regimenal therapy, which includes lifestyle modifications; 2) Dietary restrictions to avoid certain foods; 3) Preventive strategies to maintain overall well-being; and 4) Dietary recommendations that promote healthier eating habits. This comprehensive approach empowers users to take control of their health while providing them with culturally relevant insights and guidance.

The application is built using AngularJS to create a dynamic user experience, while Node.js serves as the backend for efficient data processing and management. Data is securely stored in PostgreSQL, ensuring reliability and scalability, and the application features Tailwind CSS for styling, which guarantees a responsive and user-friendly interface. Upon entering the app, users are prompted to share their current health conditions and symptoms. The AI analyzes the inputs to better understand the situation, initiating a tailored diagnostic process.