Team Name:
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Team Members:
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Our poject aims to bridge communities together and encourage active lifestyles by paring carers/volunteers with aged and disable.
there is alot of data on health and wellbeing, our project aims to increase the positive data out there by encouraging the communities to come together and be active. Location, city and state data is used to encourage application users to venture out and explore together.
Description of Use Information here could be used to better tailor activities suggested on the app. Encouraging seniors to take advantage of these concessions could be an objective of the solution.
Description of Use Using this data we are able to pair up new volunteers or existing volunteers in organisations with aged persons.
Description of Use Taking into account weather variations when suggesting routes and activities for volunteers to bring the elderly for. As an example, the app should not suggest a walk in the park on a rainy day.
Description of Use The solution we are looking into directly impacts the wellbeing of elderly residents, and that of their carers. Using the indicators, we can target specific outcomes such as increasing the participation of residents in arts and cultural activities among the elderly, improving personal relations, volunteering, self-reported health and quality of life.
Description of Use Aside from providing companionship, it would be likely that the solution will move towards covering a wider range of volunteering efforts that will target the needs of aged persons as closely as possible.
Description of Use Information on technology adoption amongst the elderly is available, which will give us an idea of how feasible the solution is. Improving technology adoption from this group would also be a benefit. Information on aged people from culturally diverse backgrounds will help us to provide assistance to the subsection of elderly who are most likely to experience isolation and require help.
Description of Use Accounting for traffic disruptions when planning routes for escorting the elderly.
Description of Use Attempting to account for transportation inconvenience when planning routes for bringing the elderly around.
Description of Use Taking into account congestion and crowds may cause inconvenience when bringing elderly around.
Description of Use Uses the data as information for possible attractions that volunteers can bring people to.
Description of Use Utilises the list of facilities when suggesting places for volunteers to bring elderly to.
Description of Use Taking into account the availability of facilities catering to aged and disabled persons when suggesting routes and places for volunteers to bring them.
Description of Use Accounting for the availability of wheelchair friendly public restrooms when suggesting routes and places for volunteers to bring the elderly to.
Description of Use Good to know events that are happening to bring aged persons to attend.
Description of Use Free wifi would generally be useful facility and point of interest for routes and attractions.
Description of Use For young carers who are looking after aged persons, this serves as a proactive measure for volunteers to ease their burden.
Eligibility: The winning entry will: * Allow users to plan to move effectively through the city (and to avoid congestion). * Use at least one City of Melbourne Open Dataset
Go to Challenge | 6 teams have entered this challenge.
Go to Challenge | 24 teams have entered this challenge.
Go to Challenge | 28 teams have entered this challenge.
Go to Challenge | 6 teams have entered this challenge.
Go to Challenge | 11 teams have entered this challenge.
Go to Challenge | 34 teams have entered this challenge.
Go to Challenge | 17 teams have entered this challenge.
Eligibility: The winning entry will: * Be an interactive/gamified solution * Use time based data to show change across the city * Use at least one City of Melbourne Open Dataset
Go to Challenge | 10 teams have entered this challenge.
Go to Challenge | 9 teams have entered this challenge.
Go to Challenge | 49 teams have entered this challenge.
