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.

It is a transcription application, which transcribes the conversation of a therapist and patient, and patient's sentiments are analyzed using Watson tone analyzer and natural language understanding. The core business logic of the application is to save patients who are emotionally disturbed, undergoing depression, or have no control over themselves etc. The application helps the therapist to analyze patients' conditions located in remote areas by listening to their problems through an audio file and gives therapist a good idea of patient's current emotional state.

A platform that will help Athletes connect with clinical athletic trainers and practitioners. It helps with preliminary analyses of the injury and based on the responses given by the patient's application will define the urgency of the injury. The urgency will prompt users to select the recommended choices, either consult the practitioners on an urgent basis or connect with the nearby emergency rooms. If the situation is not urgent they can go for the path of the scheduled appointment.

The application provides complete injury analyses supported by AI and patients are asked to answer a questionnaire for the selected pain area. Based on the responses, the application will produce the possible outcomes that define the probability of the injury.

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.

Cloud-based, pharmacy inventory reporting and analytics solution, which gives independent owners a competitive advantage by reducing operating costs, increase profitability, and improving care. It provides real-time, detailed visibility into key inventory control and supply chain management. Tracks total on-hand quantities and implements demand-based inventory controls. The objective is to keep track and manage the forecasting of undersupply and oversupply of inventory. It enables pharmacies to manage sales, purchase inventory, stock, inter transfer, returns, shipment, wholesalers and orders.