The nAia AI Fashion Tech Platform aims to revolutionize how users discover, visualize, and shop fashion online by merging artificial intelligence, 3D garment visualization, and e-commerce into one immersive ecosystem.

The MVP (Phase 1) focuses on building a scalable web platform that enables users to:

1. Create personalized 3D avatars
2. Virtually try on garments in real-time
3. Receive AI-powered styling recommendations
4. Shop seamlessly via Shopify Headless Checkout

The ultimate goal is to deliver a personalized, data-driven, and sustainable digital fashion experience, empowering both users and designers. By leveraging AI styling intelligence, 3D visualization, and real-time engagement analytics, nAia bridges the gap between fashion creativity and cutting-edge technology positioning itself as the future of virtual fashion retail.

The Food Delivery Application is a comprehensive SaaS-based platform designed to connect customers with restaurants for seamless food ordering and delivery. The application includes three main interfaces:

1. Customer Mobile App: For browsing restaurants, placing orders, and tracking deliveries.
2. Restaurant Admin Web Panel: For managing menus, orders, and restaurant operations.
3. Administrator Web Panel: For overseeing restaurants, customers, orders, and system-wide settings.

The platform supports multi-tenant architecture, enabling scalability for multiple restaurants and customers. It integrates secure payment processing (Stripe), real-time notifications, and advanced order management features.

The TNP Top News application is a multilingual news platform built to deliver real-time news updates to Android users. Supporting both English and Arabic, the app includes key features such as auto-news display in screensaver mode and push notifications for breaking news. An admin panel enables full control over news publishing, allowing content managers to update articles in real time and include multimedia elements such as text, images, and videos.

The objective of the project is to develop a comprehensive investment-tracking platform that adheres to Islamic financial principles, specifically focusing on calculating Zakat ability for investments. Shariah complaint stock trading app. 

The project involves creating a user-friendly application that allows users to track investments, filter stocks based on specific criteria (such as industry, market capitalization, and country), calculate zakat for investments using specific rules based on intentions (short-term trading and long-term investment), integrate real-time financial data.

Engaging in trading permissible company stocks, currencies, commodities (such as precious metals, grains, and energy), and sukuk is considered Halal.

Sharia certification organizations like AAOIFI maintain a certain "tolerance" for riba and Haram revenue, compounding the difficulty.

Patient Self-Management Solution – A lifestyle support tool that enables individuals to manage chronic medical conditions such as blood pressure and blood sugar levels.

OBSGYN-EHR is an intelligently designed PMS for both prenatal and postpartum care that comprehensively captures and manages all data points of the patient journey arising from examinations and patient diagnosis. It includes the first-trimester risk calculator, which is available to FMF certified and registered practitioners.

The product streamlines the processes of documenting and evaluating patient diagnoses. Based on the data captured the proposed product will also be able to make suggestions to further improve the existing workflow.