The Arabic Car Portal is a comprehensive automotive marketplace designed to help users find and purchase vehicles and car parts. The platform facilitates the buying and selling of three types of cars—New, Used, and Salvaged—along with an extensive product section for car parts. Users can perform both basic and advanced searches, including radius-based search, to find vehicles and parts that meet their requirements. The system allows dispute management where users can raise concerns about services, and these disputes will be managed by the Admin. Listings are location-based, and the platform supports multi-currency transactions managed by the Admin. Additionally, SMS Gateway integration enables direct communication between dealers and buyers.

The application is a personalized luxury children’s wear subscription box service. It focuses on international brand discovery and brings emerging, overseas designer labels to the subscribed member community. A curated box of products is sent to subscribed customers every month/quarter based on their preferences which are captured in form of questionnaire survey.

Anticipating sizing, seasonal needs, and members' lifestyles, stylists curate a box that is delivered to the customer on dates scheduled. 

An AI-first, Gen Z–oriented fashion styling app enabling users to upload wardrobe items, receive personalized outfit suggestions using AI, and engage socially via outfit polls and feeds. The solution leverages Firebase’s scalable cloud backend and integrates OpenAI for prompt-based outfit generation. Users can manage a virtual closet, receive AI alerts on missing wardrobe items, and interact with a community through polls and comments. It also includes an admin panel for moderation, analytics, and subscription management. Monetization is driven through subscription tiers and integrated ads. The product is designed as a progressive MVP with clearly defined “must-have” and “nice-to-have” features to facilitate phased rollout. Post-launch, the client aims to validate market fit and scale with affiliate shopping and influencer integrations.

The Platform project aims to revolutionize the way patients and doctors connect for immediate consultations. Implementing first-in, first-out (FIFO) approach, the platform prioritizes patients based on the order of their requests, reducing wait times and enhancing patient satisfaction. Patients can provide detailed information about their symptoms, upload relevant images, and specify the type and duration of consultation they need, empowering doctors to make accurate diagnoses and treatment recommendations during video consultations. The platform ensures seamless and secure interactions, allowing patients to rejoin the queue if they accidentally close their browser. It also simplifies the prescription process with a secure payment gateway and facilitates the delivery of prescriptions. 

The Platform project aims to enhance accessibility to healthcare services, optimize patient-doctor interactions, and elevate the overall quality of care. By leveraging technology and incorporating innovative features, the platform strives to provide a seamless experience for patients and doctors alike. With its focus on efficient queue management, comprehensive patient information, secure interactions, and simplified prescription processes, the Platform aims to revolutionize the way healthcare consultations are conducted, improving access to care and facilitating better healthcare outcomes.

The application improves care outcomes by simplifying communication among providers and patients. Patient centric and mobile, this app enables healthcare practitioners to curate, create, and share patient medical information in multiple ways. This informs, educates and engages patients and the care team about diagnosis, treatment and discharge.

The main goal of this application is to provide a platform for better interactivity between a provider (doctor) and a patient. It empowers patients with a holistic view of their healthcare data and experiences.

Developed a skin cancer AI detection app for dermatology, aimed to identify the 3 main skin cancers with over 95% accuracy. Users can track moles for changes. Key features include a user-friendly interface for lesion image capture, AI model integration for analysis, diagnostic feedback, user education, secure data management, validation with medical professionals, basic reporting, and user feedback collection for improvement.

• Cancer diagnosis and treatment information website
• Better collaborate with their treatment teams, to deliver better treatment
• Website offers a personalized education experience to newly diagnosed cancer patients including:
  - Ability to compare FDA-approved treatments by type, stage, and status
  - Ai-powered audio education and curated videos
  - Easy access to financial support from every major pharmaceutical company
• Google map functionality to search top cancer hospitals
• Displaying Ads banner on pages.