E-Hakeem
E-Hakeem is an AI-driven web app that offers symptom analysis and personalized health recommendations using the Hikmat (Unani) model.
Front End Developer
Web Dev
Ustadam
4 tech
TL;DR
“E-Hakeem is a web application that helps users understand their symptoms through a conversational interface and a decision tree model for accurate diagnosis. It integrates principles of Hikmat (Unani) by providing four health management recommendations: regimenal therapy, dietary restrictions, preventive strategies, and dietary recommendations. Built with AngularJS, Node.js, PostgreSQL, and Tailwind CSS, the app ensures a dynamic and responsive user experience, prompting users to share their health conditions for tailored diagnostic support.”
Problem & Approach
The story of why this project existed and the shape of the solution.
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.
Stack
Frontend
- Angular JS
- Tailwind CSS
Backend
- Node
Database
- PostgreSQL
Features
- 01Condition Prompt: Users can provide information about their current health conditions and symptoms, such as persistent cough, sore throat, and fever.
- 02AI-Powered Assessment: Advanced AI algorithms analyze the provided information against a vast medical database to identify potential health issues and suggest possible causes.
- 03Herbal Solutions & Guidelines: Users receive personalized herbal solutions, dietary restrictions, and regimen therapy recommendations to support health and well-being naturally.
- 04Interactive User Experience: Built with AngularJS and Tailwind CSS for a smooth and responsive experience, making it accessible to users of all tech skill levels.
Gallery
