Abstract:Taskoids are a quantification of task automation with IaC and MaC, in a SaaS model based on cloud computing(Bheemaiah, n.d.), the author presents a case study of active contour segmentation, using AWS Sagemaker with a tarball of a TensorFlow model. A case study of a genome for a pretrained model used with AWS Sage maker is presented, with extensions to training a network on AWS Sagemaker and also creating tensorflow models from Wolfram mathematical descriptions.(“Website” n.d.)A case study of the generation of the UV maps for manufacturing Cuddles(™) a stuffed toy with embedded Alexa controlled thermo-regulation, using the dog-ear framework and Thermoregulation is cited as an alternative therapy in Autism Spectrum disorder. In this paper we design a Taskoid TACuv1.0 (Bheemaiah, n.d., n.d.)with Alexa enabled thermoregulation, for the design of Cuddlies(™) from images drawn by patients.Keywords: Amazon Alexa, AWS, Sagemaker, active contour segmentation, resnet50, resnet100, deeplearning, Sonoff switches, Thermoregulation, Images, Cuddles(™), Autism Spectrum Disorder, climate change, carbon footprint.What:Design of TACuv1.0 , version 1.0 of a taskoid to convert a cartoon image to the UV maps needed for the manufacture of a Cuddles(™), for thermo-regulation, with or without conversational UI.How:The steps needed are:Creation of an outline with a seam using contour segmentation, to determine the outline.Persistence of the outline, without the cartoon image for a Cuddles(™).Why:Dog-ears, a formal system for the control and integration of wifi-enabled devices with C-UI or MUI, (Bheemaiah, n.d.)allows for the use of retro-switches, either active Sonoff switches or passive ones with templates or the use of IFTTT or the RAVA language. This enables passive control or active thermoregulation.Applications: Local body thermoregulation as a therapy, outdoor and backpacking use, energy savings in low-income households, lower cost of living, personal heating, lower carbon footprint, fighting climate change.