The main objective of the application is to record and process the video frames to extract different information about objects, events, persons in the video frames. Once the information is extracted, the frontend of the application can be used to access perform different searches.

• Search for objects like a car, hat, person and other things.
• Detect guns using a custom trained model.

The application acts as an advocacy platform for myeloma patients and connects myeloma patients with possible cures. It helps patients navigate their myeloma over the lifetime of there disease, thus helping in the research of new cures. It educates patients about myeloma and enhances their participation in choosing therapeutic options. The application empowers patients to validate the data from different sources for multiple myeloma.

The application is specifically intended for patients with plasma cell dyscrasias and ALS (amyotrophic lateral sclerosis). The data obtained from patients is integrated and processed to derive treatment options along with outcome variables and educative material.

It is a native iOS and Android app developed to give users an option to check the value of their trading sports cards before making a deal. The card Grading app helps to grade sports cards that are available in the market, a user can click an image and check the Grade range of 1-10 of the card that affects the cost of the card in trading.

We have used computer vision and NLP techniques to get the desired results. The intent is to mark the grade of the card on basis of different features, like how much the card is torn, is there any scratch or mark on the card, and other factors.

A social media platform developed for like-minded sports fans that energize fan communities broadcast their own live videos/ debates with respect to various sports leagues and conversation. Fans have the ability to publish their takes at that exact moment in the stadium or wherever they're taking in the action and engage with other fans in real-time. Used the power of Wowza streaming server allowing users to be live using goCoder/OBS/ JVC SDK.

The objective of app will work as an intermediate between the general medical observation devices and the system (server). It will collect the data (medical observations) given by the medical devices through BLE and submit the data to the server. It is a SaaS-based solution, that gathers all patient data collected from various implemented medical devices, performed by medical staff at the primary healthcare center, hospital or other location. Relevant medical staff can then read and evaluate the data through Workstation, from another location/time, and give sufficient advice and diagnosis for further investigation. The overall goal of remote monitoring was to overcome the shortage of healthcare workers and improve the efficiency of the facilities by increasing the encounter ratio vs healthcare workers. The application uses structured patient data through IQ forms and using assist flow for effective process flow through use of card systems like the kanban flow. 

The application is developed to manage various functions of an online store, including user authentication, inventory control, sales tracking, and reporting. It also supports automated email and SMS notifications. The system is built using Angular for the frontend and Node.js for the backend, with full support for multilingual usage, including RTL and LTR display for Arabic and English.