FIT3161 Computer Science Project / FIT3163 Data Science Project
Student Project Specification
Where to live: Suburb Recommendation System 7/3/2022
Background
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Australia is filled with international students and finding a place to move to or live in is a time consuming and crucial process. To ease this experience every university provides help and support to students. However, it is hard to understand and cater to the needs of every student in person. This gives birth to the need for a software that can understand the preferences of students and recommends a suburb for them to live in.
To Build a System that will recommend a suburb for students to live in around Australian
universities or schools based on their budget, public transport availability to their most traveled destinations, whether or not they need late night transportation, transit time and crime rates in the suburbs.
Moving is a hectic process and the place students stay can affect their study and mental health.
This system should be able to recommend suburbs to stay in based on any or all of the following:
1. Distance from the university
2. Average Rent
3. Crime rates
4. Easy public transport access to university/school and a few most traveled places
specified by the user
5. Availability of late night transportation to/from desired locations during desired days of
This system should be delivered in the form of a easy to use interactive dashboard in a mobile/web application
This project has room for improvement and creativity. A sequential methodology for the minimal implementation would be the following
¡ñ Review similar products available
¡ñ Find and Explore datasets
¡ñ perform statistical analysis to gather some insights to publish with visuals (For example:
crime rates over time for each subrub)
¡ñ Conduct a survey to justify the need for this application (optional)
¡ñ Implement a simple filter that suggests suburbs based on the inputs from the user.
¡ñ Build a UI/dashboard to interact with the system.
¡ñ Allow users to set their taste preferences and dietary requirements.
– feel free to use any open source data available (most of these data are available in data.gov.au)
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