AI Meeting Assistant is an advanced system providing any business to handle real time transcriptions & result driven analysis during meetings or for recorded meetings. Proposed system is allowing businesses to extract meaningful information from meetings like key topics, action items, MoM, key stakeholders, follow up points etc via AI driven tools.

Key Features:

• Call recordings and Screen Capturing (update it will be developed in C# not in AI/Python)
• Audio Transcription
• Speaker diarization
• Computer vision analysis Shared screen analysis (slide, title extraction, screen OCR, etc.)
• Sentiment analysis
• Topic extraction
• Keywords and meeting analysis
• Intent and inferences
• Identification of action items
• Summarization
• Maintaining meeting logs and follow ups
• Zoom, MS Teams, Google Meet & AWS S3 integration along with manual uploading

The proposed solution aims to develop a Telehealth E-Commerce Platform that will enable patients to browse listed skincare products. Upon selecting a product and adding it to the cart, the system will prompt patients to register and complete combined questionnaire for intake and product related inputs e.g. few questions to collect their medical history, such as allergies, medications, and medical conditions and others product specific questions.
Once the questionnaire will be complete, the prescription request to be sent to the dermatologist for his review and the patient will be notified about the prescription request accordingly.

The proposed solution will not onboard other providers as of now, it has its own dermatologist to view prescription requests and he can approve or reject prescriptions requests.

The purpose of the app is to streamline the process of conducting clinical trials by facilitating efficient screening and scheduling of members registered with insurance providers. By providing a platform for collaboration between all the stakeholders, the project aims to enhance the safety and effectiveness of new therapies, vaccines, and diagnostic procedures.

The platform assists insurance and healthcare providers to screen and schedule health screenings for registered members The app will be designed as a white label product for healthcare providers to purchase and involves importing member data provided by insurance providers in a flat file format into a database. This data will be used to schedule screenings with Medical Assistants (MA) and Nurse Practitioners (NP). During the screenings, the MA and NP will collect relevant information, and coders will assign codes based on the provided details.

It is a SaaS-based health and safety management platform that allows companies to manage their health and safety programs. It helps an organization to set up a plan that helps to manage employees as well as the assets within that organization in a safe and healthy environment. The system manages asset (equipment & chemicals) relationship, where one asset is linked to other assets and their safety guidelines are measured to prevent any incident. It also helps organizations keep up with safety compliance.

The ProSup App, developed to streamline store and facility inspection processes, empowers store managers and administrative staff with efficient tools for task management and reporting. Administered by NTS, the solution combines a user-friendly mobile application for on-site users and a centralised web interface for admins, creating a seamless inspection workflow.

With added functionalities such as Advertisement/Campaign modules, quote management, and advanced reporting capabilities, the ProSup App enhances operational efficiency, improves communication, and simplifies day-to-day inspections and management processes for NTS clients.

The AI bot is designed to demystify the world of prescription assistance, offering a clear path towards managing patients medication needs affordably and efficiently. With the patient virtual assistant patient  gain not just a tool, but a companion committed to helping you navigate the challenges of prescription assistance with ease and confidence.?

The goal is  to enhance their ability to quickly read and interpret eligibility criteria from prescription assistance forms, answer frequently asked question which is dynamically managed by the staff.