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Task                                                              21 st  Century   #Creativity
                                                                                                     Skills


                   Go to the following link www.piskelapp.com and create your own pixel art. Try and make a GIF using
                   the online app for your own pixel art.



                                               Computer Vision (Practical)



                         No-Code AI Tools


                 Imagine a world where creating an AI model is as straightforward as assembling pieces of a puzzle. Thanks to
                 no-code AI tools, this vision has become a reality. A No-Code AI tool is a software platform that allows users to
                 build, deploy, and manage Artificial Intelligence (AI) models without writing any code. These tools provide a visual,
                 drag-and-drop interface and pre-built AI components, making AI development accessible to non-programmers,
                 business users, and domain experts.

                 Deploying and Optimising AI Models with No-Code Tools

                 Steps for deploying and optimising AI models with no-code tools are as follows:

                 1.   Select the right platform: Choose a no-code AI platform that aligns with your business needs and objectives.
                     Different platforms offer unique features, so selecting the right one is crucial for success.
                 2.   Prepare your data: Clean, organise, and preprocess your data. Most no-code platforms provide tools to help
                     you with this step, ensuring your data is ready for training.
                 3.   Build your model:  Use  intuitive,  drag-and-drop  interfaces  to  create  models  for  tasks  like  classification,
                     regression, or clustering. The platform will guide you through the process and offer suggestions based on
                     best practices.
                 4.   Train the model: Once the model is built, use the platform’s Auto-ML (Automated Machine Learning) features
                     to optimise the training process. These tools automatically select the best algorithms and parameters for the
                     task.
                 5.   Fine-tune parameters:  After  initial  training,  adjust  model  parameters  to  improve  performance.  No-code
                     platforms provide automated suggestions or allow manual fine-tuning for further optimisation.
                 6.   Evaluate and refine: Assess the model’s performance using built-in metrics. Interpret the results through
                     visualizations, and make necessary adjustments to enhance accuracy and efficiency.
                 7.   Deploy the model: Finally, deploy your model with ease. No-code tools provide deployment options like APIs,
                     web services, or seamless integration with your existing systems, making the deployment process simple.

                         Introduction to Lobe


                 Lobe is a user-friendly, no-code AI tool designed to make it easy
                 for anyone to create AI models without needing programming
                 skills.  It  is  part  of  a  category  called  Automated  Machine
                 Learning (Auto-ML) tools, which handle the complex processes
                 of building, training, and optimising AI models automatically.
                 Lobe specialises in image classification, a type of AI task where
                 the goal is to identify and categorise objects within images.

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