IA2 Digital Solutions Assignment

IA2 Digital Solutions Assignment

1. User Problem

   • User Persona
     • Megan and Steven Elliot
       • Wants
         • Want to move to an area with nice parks with good wifi.
         • Want a house near good schools and libraries.
       • Needs
         • Needs an app that allows them to search for suburbs around good schools and libraries.
       • Details
         • Currently live in Melbourne, but moving to Brisbane because of Megan's new job.
         • Steven works from home, sometimes goes to the park to work.
     • Kim and Eddie
       • Wants
         • Want to move to a warmer climate and meet people around their age.
         • Want a home close to walking tracks.
       • Needs
         • Need a home close to walking tracks, for bushwalking.
         • Need an app that displays housing locations around the retirement villages in Brisbane, preferably with warmer temperatures.
       • Details
         • Live in Tasmania, just retired.
         • Like Bushwalking.

2. Task Requirements

   • Existing Solutions
     • Gooogle Maps
       • Pro
         • Users have the ability to use features such as Save the location, Location Sharing, Maps Gallery.
         • Users will feel that this application is reliable as the data is constantly being updated.
         • Has a map that allows users to view the house in either 3D view or Street View. Users have options to move around in the street digitally, greatly saving time and petrol costs to go to the destination in person.
       • Cons
         • Users will find that the offline functions of google maps are very limited. Such as the offline maps, e.g. they can only plan driving routes.
         • Users have to take in mind that whenever they use google maps, their location is with Google. It can be potentially misused if the security around the user's data is breached.
         • Sometimes Google maps outputs incorrect directions to the user which is problematic as they could lose their sense of direction and arrive at the wrong destination.
     • Waze
       • Cons
         • Users will tend to get distracted a lot with friend notifications, Advertisements, and routes can be re-routed.
         • Waze is only for drivers with cars and does not give any options for users who want to get to destinations using other modes of transport such as bikes, buses or walking.
         • The application is known to actively drain the battery of a user's mobile device.
       • Pro
         • Has a feature that allows users to add friends, enabling them to keep track of each other while travelling or making it easier to locate friends.
         • Waze takes into account accidents, traffic jams and other obstacles in order to find the best and fastest route possible for users.
         • The real-time focus of this app is to get drivers to their destinations through the fastest route possible.
   • Constraints and Limitations
     • Resources
       • Only Python, Flask and SQLite are the backend procedures. Whereas HTML and CSS are frontend procedures.
     • Budget
       • The web application does not have any financial budget currently to allow for the app to be launched.
     • Time
       • Only a set amount of time is allowed for this web application to be developed. If more time was allowed, extra features could be added for users to get optimal experience when looking for the best house.
   • Prescribed Criteria
     • The web application must be aesthetically pleasing by using elements and principles of visual communication
       • Text size and colour of the background will be combined to create a fused colour scheme to allow for eye comfort.
       • Webpages must have a mixture of different colours and pictures.
     • The web application user interface should be intuitive and easy to use
       • Consistent layout and format.
       • Prompts will be available on each page of the web application, to provide support.
     • The web application content must be accessible for all users
       • The Web-Application can be run on multiple devices, this will be done through the use of BootStrap.
       • The web-application will have alternative text.
       • The Web Application does not have too many elements, this will allow users with low-end devices to run the application.
     • The web application must use a minimum of two open data sets
       • Only data from the Brisbane City Council Website will be used.
       • House data displayed will only be for Brisbane.
     • The web application must allow users to view a filtered list of different variables that would impact house location choice
       • The web application will need a filter list to display the different variables.
       • The different variables will include Park Locations, Wireless Hotspot locations, Library Locations, Boat Ramp Locations, Tracks & Trails Locations and Schools.
   • Self-Determined Criteria
     • Users will be able to set price limits as a filter to enable them to search for houses in their budget range.
       • Minimal Bugs and Errors. Users should be able to input in their price range and search for houses easily.
       • There must be a minimum and maximum price option, with complete functionality.
     • The search query is easy to understand allowing users of multiple backgrounds and technological literacy to use it.
       • The code does not contain unnecessary lines.
       • Use of resources to their full potential.
     • Users are able to use the application without encountering problems such as Missing records in tables, valid field are not inputted with data.
       • The data should easily be entered into the database and retrieved whenever users are signing up or logging into the application.
       • The application must be able to flash error messages whenever there is incomplete data, E.g. Not all required fields are valid.
       • Users will not be encountering any data anomalies. E.g. A record of a user in the user's table that has stopped using the application exists in a different table.
     • Must have a Successful Signup and Login
       • The Application must have a login and signup form to retrieve and display users' personal account information.
         • There is a database to store this information.

3. Impacts

   • Personal
     • Users will get a sense of satisfaction after finding the perfect housing location. They will have the option to leave comments for improvements to the application in the comments section.
       • The app allows for time to be saved. As instead of going into the internet and spending time searching for locations, the information is already available on the application.
         • Users get to save on extra costs like petrol, as instead of going to random houses for inspections. They can plan ahead and only go to their selected houses.
   • Economical
     • If a company decides to invest into the app, this will allow usuage around the world. Greatly boosting economic value.
   • Social
     • The app will identify where the best house can be found, using variables such as Park Location and Library Locations from past recorded data. This will allow for more usage between communities.
       • Some people may not be able to properly understand or speak English and the app will be translated into their language, allowing them to understand where the best house location is.The app will identify where the best house can be found, using variables such as Park Location and Library Locations from past recorded data. This will allow for more usage between communities.
         • When users are searching through the app for housing locations, they will be able to use different filter settings to suit their preferences.

4. Developer Problem

   • User Interface
     • Usability Principle
       • Utility
         • The Web Application allows users to choose between different suburbs for the best houses, and filter those suburbs to their personal preferences.
       • Effectiveness
         • The Application will retrieve all data which is relevant to the users filtered search.
       • Safety
         • When the user's data is stored in the database, security such as encryption will be used to protect the data.
       • Learnability
         • Once login and signup are successful, the user will have full access to the application through the buttons and clear pictures.
       • Accessibility
         • The Signup and Login forms display words, buttons and pictures for simple ease of access for the user.
     • User Interface Components
       • Buttons
         • Buttons will be placed at certain points in the application, this will allow the user to use the different features of the apps. Such as the user inputting their data in the login fields and pressing the login button to go to the home screen page.
       • Filter list
         • The filter list will allow the users to choose different variables when they start searching for the housing locations. Variables such as Park Locations or Library locations.
       • Images
         • Users will able to see images relveant to their search for the houses.
       • Links
         • On the web application the user will be able to see links that lead to other platforms such as Google, Twitter and Facebook. If the user needs to login through those platforms they can do so. This follows the safety principle as the user can store the information from those other platforms, in this applications databases.
       • Login Form
         • This will be displayed once the user has entered their data. This is an optional screen as this screen stores the user's data in the database, this follows the effectiveness usability principle.
       • Signup form
         • This will be displayed once the user is signing up for the first time. This is a mandatory screen as this screen stores the user's data in the database, this follows the effectiveness usability principle.
     • Mockup
     • Wireframe
   • Coding Environment
     • Key Algorithms
       • Signup
         • User details are taken from the user's table and validated.
       • Login
         • User details are committed to the database, the password is encrypted.
       • Optimal Suburb
         • Based on the user's input, a result is provided.
     • Development Tools
       • Flask
       • Thonny
       • Python
       • HTML
       • CSS
       • SQLite
   • Data
     • Data Source Options
       • Data Source Option 4
         • Cons
           • The dataset contains field names such as Centre Code, Centre Status, Host Centre Code, Host Centre Name, Officer in charge title, School Band, Show Holiday Date, Restrict Contact Outside Teaching Hours, Actual Address Line 1, Actual Address Line 3, Postal Address Line 1, Postal Address Line 2, Postal Address Line 3, Postal Address Post Code, Education Geographic Region, Federal Electorate, State Electorate, Local Government Area, Statistical Area Level2, Statistical Area Level2 Code, Remoteness Area, Enrolment Effective Date, All Student Count, Campus All Student Count, ABN, Sector, Non-State Sector.
         • Pros
           • This dataset contains fields such as Longitude, Actual Address Line 2, Phone Number, Centre Name, Centre Type, Official Low Year Level, Official High Year Level, Internet Site, Actual Address Postal Code and Latitude. Through the use of data clearing some of these field names will be changed for final development of the application.
         • Schools
         • Data
           • New Data Added
             • School_ID
               • Integer
                 • Data Type Length: 150
           • Firm Type
             • Integer
               • Data Type Length: 150
           • Centre Name
             • Integer
               • Data Type Length: 150
           • Latitude
             • Integer
               • Data Type Length: 300
           • Longitude
             • Integer
               • Data Type Length: 500
           • Actual Address Line 2
             • String
               • Data Type Length: 500
           • Actual Address Post Code
             • String
               • Data Type Length: 500
           • Phone Number
             • Integer
               • Data Type Length: 450
           • Internet Site
             • String
               • Data Type Length: 500
           • Official High Year Level
             • String
               • Data Type Length: 150
           • Official Low Year Level
             • String
               • Data Type Length: 150
       • Data Source Option 3
         • Cons
           • This dataset contains field names such as Venue, Open, Parking, Summary, Facilities and Meeting Rooms. These field names will not be used in the final development of the application.
         • Pros
           • The dataset also contains fields such as Website, Address and Phone. These will be used in the final development.
           • This dataset contains Longitude and Latitude, this information is the same as data source 1.
           • This dataset contains an ID for each Library Location, users will be able to identify which Library they would like to visit when viewing in the records.
         • Data
           • Phone
             • Integer
               • Data Type Length = 150
           • Address
             • Varchar
               • Data Type Length = 450
           • Website
             • Varchar
               • Data Type Length = 450
           • Longitude
             • Integer
               • Data Type Length = 150
           • Latitude
             • Integer
               • Data Type Length = 150
           • ID
             • Integer
               • Data Type Length = 150
         • Library Locations
       • Data Source Option 5
         • Data
           • New Data Added
             • Latitude
               • Integer
                 • Data Type Length: 500
             • Longitude
               • Integer
                 • Data Type Length: 500
             • Track_Name
               • String
                 • Data Type Length: 500
           • Item_Description
             • Float
               • Data Type Length: 700
           • ID
             • Integer
               • Data Type Length: 150
         • Cons
           • The following fields will not be required for this application, Park_Name, SAP_Equipment, SAP_Functonal_Location, Item_Type and Shape_Length.
           • The dataset does not contain the missing fields that will be required for the final development, they are Track_Name and Longitude and Latitude.
         • Pros
           • The dataset contains a field called Item_Description which gives the user an overview of what to expect at that specific track.
           • This dataset contains an ID for each Track and Trail Location, users will be able to identify which track they would like to visit when viewing in the records.
         • Tracks and Trails Locations
       • Data Source Option 2
         • Data
           • New Data Added
             • Hotspot_ID
               • Integer
                 • Data Type Length: 150
           • Longitude
             • Integer
               • Data Type Length: 150
           • Lattitude
             • Integer
               • Data Type Length: 150
           • Address
             • Varchar
               • Data Type Length: 500
           • Wifi Hotspot Name
             • Integer
               • Data Type Length: 150
         • Wireless Hotspot Locations
         • Con
           • The dataset contains field names such as Suburb and Site, these fields will not be used in the final development of the application.
         • Pro
           • This dataset contains an Address Field.
           • This dataset contains Longitude and Latitude, this information is the same as data source 1.
           • This dataset contains the Address field name, which will allow users to know the address of the parks with free wifi.
           • This dataset contains the Wifi Hotspot Name, which will allow users to see which locations have free wifi.
       • Data Source Option 1
         • Data
           • New Data Added
             • Park_ID
               • Integer
                 • Data Type Length: 150
           • Latitude
             • Integer
               • Data Type Length: 150
           • Longitude
             • Integer
               • Data Type Length: 150
           • Post_Code
             • Integer
               • Data Type Length: 4
           • Street_Address
             • Varchar
               • Data Type Length: 500
           • Park_Name
             • String
               • Data Type Length: 300
         • Park Locations
         • Con
           • The dataset only has a Linked Data Rating of 3 stars, this means that the data is available in a generic structured format, such as a CSV.
           • The dataset contains field names such as Park_Name, House_Number, SAP_Asset_ID and Shape_Length. These fields will not be used in the final application.
         • Pro
           • The dataset contains Longitude and Latitude allowing users to find parks using navigation systems such as Google Earth.
           • The dataset has Post_Code, users will able to see which suburb the Park is located in.
           • The dataset contains Street_Address, which will allow users to know where Parks are located in Queensland.
           • The dataset has Park_Name, which represents all current parks in Queensland.
     • Data Storage and Retrieval
       • Search by Wireless Hotspot Locations
       • Search by Tracks and Trails.
       • Search by Schools
       • Search by Parks
       • Search by Libraries
       • SQLite Database

5. The application will require full stack-development with functionality in the front and back end procedures

6. Data Privacy Considerations for Data collected from users

   • Data collected must be encrypted with a set code.
   • Two-Factor authentication, UserId's and passwords can be used to protect data collected from users.
   • Set Security standards such as passcodes or privacy policies.
   • After data has been collected, users should give their consent to the application which will indicate that they have either agreed or disagreed to store their data in the applications database.