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In case of increased data, a MySQL database handling the data may not seem the most feasible approach to accommodate the scale, thereby hampering the technical viability of the application in the long run.

Customer feedback is not mentioned and it could be added for training the machine learning algorithm and enhancing it. Example - How satisfying are the recommendations, what can be changed to add to the business value?

The project is technologically viable and can be implemented using the solution given. But the document could be more descriptive towards the approach to the solution.

The IBM Functions integrated into the diagram is not clear. It could be more descriptive to give a clear functionality of what, where and why the functions will be used.

The reason behind choosing MySQL DB has not been described. Why only relational database has been used instead of any other non-relational database? There is no clarity regarding this point.

Kafka and other services like relational databases can be used to make the application scalable.

As Professor Ranjan mentioned in the class about the WOW feature. On reading the project description, I was wondering what is the unique feature of the project that makes it different from existing vendor solutions like Zillow, Trulia, etc. Walking along the lines of the professor, if I had to invest in the company, I liked the idea of providing a crime rate, but it was the only factor that motivated me to invest. I wanted some unique distinction to be mentioned from existing solutions.

Seeing the architecture diagram, I believe when it is mentioned IBM functions, you guys would be using IBM Cloud services for hosting their website and to provide scalable solutions. But this is my assumption as it isn't clear from the diagram. There is also usage of Github Pages which would be to provide frontend to the client. So is it safe to assume, the front end would be via Github Pages and not on IBM Functions? Also, if more description could be provided regarding the actual IBM functions pertaining to handle high traffic scenarios, it would provide a clear picture.

The software would perform machine learning algorithms on dataset and then provide optimize solution based upon that. So what kind of dataset would the project be made up on? What will be the size, authenticity, and source of the dataset that will be used? What kind of features will be extracted from the dataset? What all features will the dataset include?