As an organization we also wanted to focus on solving some of the business problems help the lively hood of human beings and here are some of our team innovations.

Covid-19 Challenge:

During the Covid-19 hard times our team taken up a challenge and came up with the following solution.

• The most effective pandemic in the 21st century is being considered in our investigations to work on and develop a product level solution in alerting the people for the health safety.
• The development is concentrated on the delivery of the GCP based ML model with Vertex-AI services.
• The customer is addressed with forecasting alerts from the XG-Boost algorithm based on the features such as the patient data (age, gender, patient health history, local region, oxygen levels, patient journey history and last 14 days patient health conditions etc..).
• The ML model helps the patient to be cautious about the clinical check-ups and he will be receiving the details about the vaccination facilities nearby his location, how frequently he is going to the medication and his oxygen levels will be monitored/collected via gadget such as smartphone timely.
• Further the model will be tuned to further inform the nearby hospital who will be reaching to the patient/assisting the patient to reach out them as per the cloud-driven ML model.
• The model is very much appreciated by the industry-level pioneers for the proto-type designed during the experimentation.

Aerospace recommendation:

• Providing the artificial intelligence (AI) for the computation systems through the evolutionary machine learning algorithms can much help to improve the accuracy and accountability in the estimation of atmospheric errors for Global Navigation Satellite Systems (GNSS) critical life safety applications.
• Deep Learning (DL) is an advanced technology, and sophisticated branch of AI with predictive capabilities and paradigm of machine learning algorithms.
• It has yielded unparalleled results in the real-time applications such as speech recognition, computer vision (object/face recognition), natural language understanding to assess an object, properly digest the information and adapt to different variants.
• Hence, Deep learning algorithms are implemented to develop web-based atmospheric weather forecasting system to alert the GNSS users/ Airport officials for correcting the positioning errors.

Drug Discovery:

• Based on the knowledge of a biological target drug design can be offered which is referred as rational drug design. The drug is most commonly an organic small molecule that activates or inhibits the function of a biomolecule such as a protein, which in turn results in a therapeutic benefit to the patient.
• In the most basic sense, drug design involves the design of molecules that are complementary in shape and charge to the biomolecular target with which they interact and therefore will bind to it. Drug design frequently but not necessarily relies on computer modelling techniques.
• This type of modelling is sometimes referred to as computer-aided drug design. Finally, drug design that relies on the knowledge of the three-dimensional structure of the biomolecular target is known as structure-based drug design.