Abstract: System and methods are provided for detecting impairment of an individual. The method involves operating a processor to: receive at least one image associated with the individual; and identify at least one feature in each image. The method further involves operating the processor to, for each feature: generate an intensity representation for that feature; apply at least one impairment analytical model to the intensity representation to determine a respective impairment likelihood; and determine a confidence level for each impairment likelihood based on characteristics associated with at least the applied impairment analytical model and that feature. The method further involves operating the processor to: define the impairment of the individual based on at least one impairment likelihood and the respective confidence level.

Abstract: A computer implemented analytical platform for improving the quality of education, the computer implemented analytical platform comprises a data aggregation module configured to collect and aggregate data from one or more data source. The computer implemented analytical platform includes a statistical analysis module for removing the interrelation among one or more variables. The results are passed to a dimensionality reduction module to select one or more variables from a given set of variables. After a selection is made on the number of dimensions/variables to be included for analysis, the data is passed to a feature engineering module, which calculates the importance of each feature/variable and the weight associated with each variable/dimension. A geospatial analytics module determines the gaps in coverage of schools.

Abstract: The invention relates to an agricultural analytics platform that enables farmers, agriculturists and decision makers to classify crops and invasive species using multiclass machine learning technique. The agricultural analytics platform uses data assimilation techniques to understand the changing landscape of agriculture. The invention discloses an improved set of layered solutions which help in estimating crop yields and provide insights for generating maximum output. Advanced Artificial Intelligence (AI) algorithms and statistical analyses are used to provide solutions for agricultural problems such as crop rotation, crop selection, crop yield, etc.

Abstract: System and methods are provided for detecting impairment of an individual. The method involves operating a processor to: receive at least one image associated with the individual; and identify at least one feature in each image. The method further involves operating the processor to, for each feature: generate an intensity representation for that feature; apply at least one impairment analytical model to the intensity representation to determine a respective impairment likelihood; and determine a confidence level for each impairment likelihood based on characteristics associated with at least the applied impairment analytical model and that feature. The method further involves operating the processor to: define the impairment of the individual based on at least one impairment likelihood and the respective confidence level.

Abstract: Disclosed is a computer implemented system and method for retail management. The computer implemented system and method for retail management provides data driven and insightful decisions for businesses by implementing an Artificial Intelligence (AI) Platform. The AI platform utilizes the tacit industry knowledge with geospatial information and proprietary AI algorithms to make data driven decisions. In an embodiment, the computer implemented system and method includes DBAS Engine for retail management, prediction, and business optimization. The computer implemented system and method for retail management provides a layered set of solutions to drive the bottom-line revenue and further adds value by identifying new markets for expansion. In addition, the layered solution implemented by using AI algorithms identify the preferred customer profiles to serve targeted customers in a personalized way.

Abstract: The novel invention provides for a system and a method to motivate care providers to ensure (a) compliance for a prescribed medical protocol for maintaining good health, and (b) collectively work together for speedy recovery of patients. The disclosed method and system help the care providers and care partner network to follow the prescribed medical protocols. The care providers are given the task of improving the health of patients. For the efforts, the care providers are rewarded with reward points based on improved health condition of patients. The rewards are recorded in the database as reward points. The reward points are converted into normalized points. These normalized points are credited into the account of the care providers as a reward for compliance with the treatment protocols.

Abstract: The novel invention provides for a system and a method for product recommendation and advertisement that enables a patient undergoing a patient treatment protocol for computerized data collection, and it also enables the delivery of contextually relevant advertising to the patient based on one or more diseases and according to a predetermined computerized work-flow. Additionally, the product recommendation and advertisement method and system provide for displaying sponsored advertisement of medical products based on user preferences, history, previous purchases and other similar parameters.

Abstract: A method and system for rapid scanning, surveillance and detection of an infectious disease in an individual is disclosed. The method and system operate a processor to receive a set of training data comprising training data to train one or more analytical models using artificial intelligence algorithms. The method and system then use one or more input devices to receive parameters related to the individual such as images, body temperature, clinical data, CT scan data, voice data, video data and thermal image. Each parameter is associated to one or more features. An analytical model is selected from one or more analytical models to detect the presence of the infectious disease in an individual. The method and system for rapid scanning, surveillance and detection can be trained on a wide dataset received from clinical data, CT-scan, X-ray, temperature sensor and other data.

Abstract: System and methods are provided for detecting impairment of an individual. The method involves operating a processor to: receive at least one image associated with the individual; and identify at least one feature in each image. The method further involves operating the processor to, for each feature: generate an intensity representation for that feature; apply at least one impairment analytical model to the intensity representation to determine a respective impairment likelihood; and determine a confidence level for each impairment likelihood based on characteristics associated with at least the applied impairment analytical model and that feature. The method further involves operating the processor to: define the impairment of the individual based on at least one impairment likelihood and the respective confidence level.