Elderberry
Elderberry is an elderly-helper matching platform, whose aim is to create a balanced ecosystem to enable and incentivise collaboration between older people, helpers, volunteers, donors and NGOs, thus significantly boosting care service coverage. The system uses myriad modern technologies to reduce costs and increase efficiency, including an AI recommendation engine, a highly optimised simple user experience, and a specially designed two-phase coin cycle with an NFT-signed transaction log, all of which operate on a cloud platform.
Team members
Mr Chow Chun-wai* (Alumnus, Dept. of Marketing, CityU)
Mr Galić Lazar (Undergrad, Dept. of Computer Science, CityU)
Miss Qi Xintong (Undergrad, Dept. of Computer Science, CityU)
Mr Tsoi Wing-kin (Alumnus, Dept. of Social and Behavioural Sciences, CityU)
Mrs Chan Wai-kuen (Alumnus, Dept. of Social and Behavioural Sciences, CityU)
Miss Fan Yuet-ying (Alumus, Community College of City University)
Mr Lam Tsz-yeung (Undergrad, Dept. of Economics and Finance, CityU)
* Person-in-charge
(Info based on the team's application form)
Mr Galić Lazar (Undergrad, Dept. of Computer Science, CityU)
Miss Qi Xintong (Undergrad, Dept. of Computer Science, CityU)
Mr Tsoi Wing-kin (Alumnus, Dept. of Social and Behavioural Sciences, CityU)
Mrs Chan Wai-kuen (Alumnus, Dept. of Social and Behavioural Sciences, CityU)
Miss Fan Yuet-ying (Alumus, Community College of City University)
Mr Lam Tsz-yeung (Undergrad, Dept. of Economics and Finance, CityU)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2021)