The application identifies wound size, shape, area and volume using artificial intelligence (AI) to measure wound circumference, type and progress. It is a platform that allows multiple care facilities to manage wound healing progress rate and wound treatment supplies.

The HIPAA compliant mobile app provides access to real-time wound status and the information is stored for further review from care team. The application provides visual evidence of wound progress and identifies at-risk residents for early intervention.

It also streamlines decision making process and collaboration within care team and is designed for efficient management of wound care supplies.

It provides a smart solution to Healthcare Providers and Patients using advanced Analytics. The patient’s medical records are processed using OCR and the text is obtained from the Digital Charts. Which is further processed through NLP procedures like keyword extraction, NER, etc to obtain vital information from the charts at page level like Diagnosis Codes, DOS, B.P readings, etc. Therefore, it provides a complete analytics solution to the Healthcare Providers and Patients in tracking the medical history of a client and helps them serve in a better way by improving the efficiency in tracking the vital information.

The system targets displaying the analytics done by the AI so that the subscribing users can see the scanning done by AI and make changes to various elements.

The software helps clients streamline core processes, create powerful analytics, and unlock value-creating insights.

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

A platform that will assist individuals in screening and tracking musculoskeletal injuries, poor movement patterns, and identifies areas that could become an issue, as well as have the ability to use personalized exercise programs to improve movement and strength. The platform will help children, athletes, and patients in preliminary analyses based on qualitative and quantitative assessment tests, simple movement-based tests, strength tests, and range of motion tests.

Based on the responses given by the patient’s application, it will give an overall score to flag up and highlight any deficient areas and areas that should be addressed to reduce injury risk, pain, or problems. Leveraging an AI Computer Vision-based system to track movement quality and characteristics as users can access in real time or upload a basic video if a mobile device is unavailable. A further secondary component of this is a retraining tool using AI to help improve user's movement pattern

Empowering human-centered care - coordination between healthcare and social service providers and government agencies, enabling clients to work collaboratively with staff. AI-based software which responds to natural language conversation about human needs and refers people to organizations that provide matching health care and social services.

The software enables people to screen for eligibility for government programs and apply them by auto-filling PDF application forms that have been previously parsed by DataKit.