Abstract: A system and a method for improved generation of 3D avatars for virtual try-on of garments is provided. Inputs from a first user type are received, via a first input unit, for generating one or more garment types in a graphical format. Further, a 3D avatar of a second user type is generated in a semi-automatic manner or an automatic manner based on capturing a first input type or a second input type respectively received via a second input unit. The first input type comprises measurements of body specifications of the second user type and the second input type comprises body images of the second user type. Further, the generated garments are rendered on the generated 3D avatar of the second user type for carrying out a virtual try-on operation.

Abstract: A system and method for generating an optimized online garment creation platform is provided. Multiple fabric pieces data are rendered via a user interface (UI) on user device. Fabric pieces data are tagged on UI based on a circulatory score. Size of garment type is tagged on UI using tagged fabric piece data for designing a garment via UI. Garment types are rendered in template form on UI. The garment type templates are tagged on UI. Tagged garment type template is split into fixed number of panels. Images in panels of garment type template are optimally embedded. A pixel per distance metric of edited region of the image is computed for determining size of edited region of image. Edited region of image is added as a swatch in the garment type template. The panels of the garment type template are tagged for embedding with edited images.

Abstract: A system and a method for improved generation of 3D avatars for virtual try-on of garments is provided. Inputs from a first user type are received, via a first input unit, for generating one or more garment types in a graphical format. Further, a 3D avatar of a second user type is generated in a semi-automatic manner or an automatic manner based on capturing a first input type or a second input type respectively received via a second input unit. The first input type comprises measurements of body specifications of the second user type and the second input type comprises body images of the second user type. Further, the generated garments are rendered on the generated 3D avatar of the second user type for carrying out a virtual try-on operation.

Abstract: A system and method for generating an optimized online garment creation platform is provided. Multiple fabric pieces data are rendered via a user interface (UI) on user device. Fabric pieces data are tagged on UI based on a circulatory score. Size of garment type is tagged on UI using tagged fabric piece data for designing a garment via UI. Garment types are rendered in template form on UI. The garment type templates are tagged on UI. Tagged garment type template is split into fixed number of panels. Images in panels of garment type template are optimally embedded. A pixel per distance metric of edited region of the image is computed for determining size of edited region of image. Edited region of image is added as a swatch in the garment type template. The panels of the garment type template are tagged for embedding with edited images.

Abstract: A system and method for determining an optimal solution to an optimization problem in a swarm of candidate solutions is provided. The invention comprises generating a population of random particles, where each particle is representative of a candidate solution. Further, a best particle is identified from the generated population of particles. The best particle is representative of an optimal solution. The population of particles is categorised into similar and non-similar particle groups by applying one or more multivariate measurement techniques, and similarity between the particles of the non-similar particle group with best particle is updated by applying an imitation technique. The generated population is updated with updated particles and a new best particle is evaluated from said population. Furthermore, final best particle is determined by further updating the population of particles until one or more target conditions are achieved.

Abstract: A system and computer-implemented method for managing a smart devices network using fog computing is provided. The system comprises an application manager configured to receive service requests from devices in a smart devices network and collect data related to fog computing nodes and intermediate computing nodes and a resource utilization predictor configured to predict availability of the fog computing nodes and the intermediate computing nodes. Furthermore, the system comprises a resource manager configured to dynamically allocate at least one of: a specific fog computing node and a specific intermediate computing node, schedule triggering of fog applications based on the predicted availability, trigger, at the specific fog computing node and the specific intermediate computing node, the fog applications for executing the received service requests corresponding to the devices and perform actions corresponding to the executed one or more service requests.

Abstract: A system and computer-implemented method for managing a smart devices network using fog computing is provided. The system comprises an application manager configured to receive service requests from devices in a smart devices network and collect data related to fog computing nodes and intermediate computing nodes and a resource utilization predictor configured to predict availability of the fog computing nodes and the intermediate computing nodes. Furthermore, the system comprises a resource manager configured to dynamically allocate at least one of: a specific fog computing node and a specific intermediate computing node, schedule triggering of fog applications based on the predicted availability, trigger, at the specific fog computing node and the specific intermediate computing node, the fog applications for executing the received service requests corresponding to the devices and perform actions corresponding to the executed one or more service requests.

Abstract: A system and method for determining an optimal solution to an optimization problem in a swarm of candidate solutions is provided. The invention comprises generating a population of random particles, where each particle is representative of a candidate solution. Further, a best particle is identified from the generated population of particles. The best particle is representative of an optimal solution. The population of particles is categorised into similar and non-similar particle groups by applying one or more multivariate measurement techniques, and similarity between the particles of the non-similar particle group with best particle is updated by applying an imitation technique. The generated population is updated with updated particles and a new best particle is evaluated from said population. Furthermore, final best particle is determined by further updating the population of particles until one or more target conditions are achieved.

Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.

Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.

Abstract: A system and computer-implemented method for efficient recognition of one or more handwritten characters in one or more documents is provided. The system comprises an image input module configured to receive the one or more documents as one or more images. The system further comprises a snippet extraction module to extract one or more fields of information from the one or more received images. Furthermore, the system comprises a segmentation module to segment the one or more extracted fields of information into one or more segments. Also, the system comprises a feature extraction module configured to extract one or more handwritten characters from each of the one or more segments. In addition, the system comprises a character recognition module configured to recognize the one or more extracted handwritten characters. The system further comprises a language processing module configured to detect and correct errors in the one or more recognized characters.

Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.

Abstract: A system and computer-implemented method for efficient recognition of one or more handwritten characters in one or more documents is provided. The system comprises an image input module configured to receive the one or more documents as one or more images. The system further comprises a snippet extraction module to extract one or more fields of information from the one or more received images. Furthermore, the system comprises a segmentation module to segment the one or more extracted fields of information into one or more segments. Also, the system comprises a feature extraction module configured to extract one or more handwritten characters from each of the one or more segments. In addition, the system comprises a character recognition module configured to recognize the one or more extracted handwritten characters. The system further comprises a language processing module configured to detect and correct errors in the one or more recognized characters.

Abstract: A method and system for predicting neurological disorders is provided. The method comprises receiving videos of individuals and detecting Regions of Interest (ROI) in video frames. The method further comprises determining a Motion Vector (MV) for each ROI in a set of successive frames and comparing value of the determined MV with pre-stored values. Furthermore, the method comprises identifying a MV matching a pre-stored value thereby identifying a ROI and a frame corresponding to the identified MV, wherein the pre-stored value indicates onset of an expression. Also, the method comprises determining MVs for the identified ROI in subsequent sets of successive frames and comparing value of the determined MVs with a pre-stored value of MV corresponding to peak and offset of the indicated expression. The method further comprises identifying the frame corresponding to the peak and offset of the indicated expression and generating pictorial representation for predicting neurological disorders.

Abstract: A system and computer-implemented method for classifying skin disorders using an image of a skin portion is provided. The system comprises a server configured to receive the image of the skin portion from an electronic communication device and process the received image of the skin portion, wherein the processing comprises at least one of: resizing, removing artifacts and noise, applying new color space, sharpening the image and correcting background. Furthermore, the server is configured to segment the processed image to identify the region of interest within the processed image and extract one or more features from the identified region of interest. The system further comprises a trained learning module configured to classify the skin disorder by mapping the extracted features with pre-stored images, wherein the pre-stored images that map with the extracted features are associated with a particular category of skin disorder.

Abstract: A system, a computer-implemented method and a computer program product for extracting insurance data from one or more documents having one or more file formats and converting into Extensible Markup Language (XML) format is provided. The system comprises a user interface configured to facilitate one or more users to submit one or more documents related to insurance. The system further comprises a business type classification module configured to identify the one or more submitted documents based on a business type. Further, the system comprises a format classification module configured to identify file format of the one or more submitted documents. Furthermore, the system comprises an extraction and conversion module configured to match one or more headers in the one or more submitted documents with one or more pre-stored headers, extract insurance data corresponding to the one or more matched headers and convert the extracted insurance data into XML format.

Abstract: A system and computer-implemented method for classifying skin disorders using an image of a skin portion is provided. The system comprises a server configured to receive the image of the skin portion from an electronic communication device and process the received image of the skin portion, wherein the processing comprises at least one of: resizing, removing artifacts and noise, applying new color space, sharpening the image and correcting background. Furthermore, the server is configured to segment the processed image to identify the region of interest within the processed image and extract one or more features from the identified region of interest. The system further comprises a trained learning module configured to classify the skin disorder by mapping the extracted features with pre-stored images, wherein the pre-stored images that map with the extracted features are associated with a particular category of skin disorder.

Abstract: A system and computer-implemented method for real-time monitoring and management of patients from a remote location is provided. The system comprises one or more patient's communication devices configured to facilitate users to enter patient related data via a healthcare application. The system further comprises an analyzing and processing module, residing in a cloud based environment, configured to receive and process the patient related data. The analyzing and processing module is further configured to send alerts to physicians based on at least one of: the received and the processed patient related data. Furthermore, the analyzing and processing module is configured to facilitate the physicians to access the received and the processed patient related data and provide responses via the healthcare application. Also, the analyzing and processing module is configured to send alerts to the users and facilitate the users to access the responses.

Abstract: A system, a computer-implemented method and a computer program product for extracting insurance data from one or more documents having one or more file formats and converting into Extensible Markup Language (XML) format is provided. The system comprises a user interface configured to facilitate one or more users to submit one or more documents related to insurance. The system further comprises a business type classification module configured to identify the one or more submitted documents based on a business type. Further, the system comprises a format classification module configured to identify file format of the one or more submitted documents. Furthermore, the system comprises an extraction and conversion module configured to match one or more headers in the one or more submitted documents with one or more pre-stored headers, extract insurance data corresponding to the one or more matched headers and convert the extracted insurance data into XML format.