A web-based online learning platform that allows home learners to access courses on a recurring subscription plan. Courses are in the form of videos and there is online assessment in the form of objective questions as well to test the learning of courses. Learners can see progress in the leaderboard and also admin can analyze the learner's progress in the form of charts/graphs. Learner can communicate with other users in forum as well as with admin for any queries, doubts, etc. After the completion of courses, the learner will get certiicate of completion

Conferences play an important part in most industries. The objective of the Virtual expo platform is to host educational health fairs and seminars virtually. Hosting multiple events at the same time, create event websites, manage sponsors, exhibitors, speakers for each event, create virtual booths and get insights on attendees are some of the major benefits. However, the backbone of the platform is a streaming service functionality that would be used for both streamings of recorded videos as well as real-time video chats and sessions for virtual events.

Wasfati is a community-driven platform designed to connect Arab people through the sharing and uploading of recipes. The application aims to foster a sense of community by allowing users to share their culinary creations, discover new recipes, and engage with others who share their passion for cooking. The platform will provide a user-friendly interface and a range of features to enhance the user experience and encourage active participation.

This project is a Web-based E-Prescribing & Document Processing Platform designed for healthcare providers and organizations to manage electronic prescriptions, sales orders, and documentation efficiently. The platform integrates with Brightree via API for seamless data synchronization, ensuring automated handling of product catalogs, patient records, and order tracking. A robust AI-powered document ingestion system processes medical faxes, extracts key details using OCR, and categorizes them for compliance checks. The system enhances efficiency through automated validation, real-time chat support, and AI-driven data extraction while ensuring secure handling of sensitive medical data.

This project is focused on developing an AI-driven retail platform using the MERN stack (MongoDB, Express.js, React.js, Node.js) to revolutionize the healthcare sector. The platform is designed to streamline product management, order tracking, and user engagement, ensuring a smooth experience for buyers, sellers, and administrators. With features like dynamic category management, personalized product recommendations, and affiliate marketing, it simplifies the journey from discovery to purchase while improving operational efficiency.

It is an on-demand online ordering app that helps in making food ordering from a nearby restaurant and having it delivered to their home as simple as possible for their customers. 
The users according to their current location can search, find, choose any nearby restaurant and add meals to their cart, then enter their personal information to place the order. This order will be received and confirmed by the restaurant. Once the order has been validated, it will be assigned to a nearby driver, who will deliver it to the customer. Also, The user can pick up their order or make a reservation at the restaurant.