Topic:You can choose any topic, such as face recognition, im

Topic:You can choose any topic, such as face recognition, image recognition, covid-19 distribution and so on.Requirements:Must create a Create a computer vision application and deploy it to the edge-based inference platform.Must have trained the model yourselfMust use a real data set (not fake data set, i.e. randomly generated numbers)Must be original work (not a copy of a Kaggle project, etc.)Two Page Report explaining your findings. Must be exactly two pages.It’s best to have a five-minute speech draftColab Notebook Documentation:Must explain in detail accuracy of modelExplain the tradeoffs you madeDo exploratory data explorationThere is detailed code and explanation in Colab.The format will be as follows:Required Format: Jupyter NotebookTwo Page Report explaining your findings. Must be exactly two pages.You can leverage the GCP.Project will be judged according to criteriaReproducibility of the Project:Is every step reproducible in Jupyter notebook? Creativity:Did you create new insights that you shared to the class?Craftsmanship:Did you take care in crafting your presentation and put thought into little details like thoughtful data visualization?Difficulty: Was this a challenging problem you tackled?ML Technique:How did you approach the problem?Software Engineering Carpentry: Did you apply software engineering best practices? Resume Worthiness: Will this project get you a job?How well does your two-page report explain your project?You can get a general idea of the content according to the attachment.