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2.8.3  Web Application Frameworks




                                A web framework is used to simplify the process of developing and deploying
                                web applications.


                                i.     Flask


                                       Flask is a well-known Python web framework that is used to create

                                       web applications. It is an excellent fit for the project because of its

                                       simplicity,  versatility,  and  smooth  integration  with  Python.  Flask
                                       offers  a  simple  and  intuitive  approach  to  web  application

                                       development as a light and basic web framework. It is suitable for
                                       projects of all sizes and complexity levels because of its simplicity,

                                       which  enables  rapid  setup  and  simple  development.  Due  to  the

                                       framework's  adaptability,  certain  components,  such  as  database
                                       libraries  and  templating  engines,  may  be  chosen  and  integrated  to

                                       meet  the  needs  of  the  project.  Additionally,  Flask  connects  with
                                       Python without difficulty, taking use of the robust environment and

                                       tools that the Python community provides. Flask offers a strong basis

                                       for creating RESTful  APIs  and web services  thanks to  its flexible
                                       structure  and powerful  routing qualities.  Overall, the utilisation of

                                       Flask  makes  it  easier  to  create  web-based  applications  swiftly,
                                       providing  the  essential  simplicity  and  flexibility  for  the  project's

                                       distinctive requirements.



                        2.8.4  Datasets for Prediction



                                The creation and assessment of machine learning models across a range of

                                disciplines  depend  heavily  on  the  availability  of  high-quality  datasets.  A
                                dataset that includes important traits and factors is necessary for developing

                                precise  predictive  models  in  the  context  of  stroke  prediction.  The
                                "Fedesoriano's  Stroke  Prediction  Dataset"  is  one  such  dataset  that  has

                                generated interest in the machine learning field. It is available on Kaggle.

                                This project can study and create predictive models for stroke risk assessment
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