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Hong Kong Science Fair 2022

Screenshot 2022-07-12 093958

Congratulations to our P6 students Caitlin Tsai, Sabrina Lauren Lau, Chen Yat Ming, Aidan Lau and DP1 students Lai Hong Lun and Boey Jun Xin for winning the Merit Awards in the Hong Kong Science Fair 2022 for their projects Clear Covid (P6 Team) and AnalySound (DP Team). The teams hosted exhibition stalls where visitors dropped by to chat with them about their innovations. Our P6 Team was also interviewed by The Standard to share their innovative process during the exhibition.

The Hong Kong Science Fair provides a platform for students to showcase their creative talents. It is a competition that aims to bring about the young people’s best efforts by challenging them to apply their knowledge of science, technology and creativity to solving various problems in life.

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About the Project – Clear Covid

Clear Covid is a COVID mask that can also detect the COVID-19 virus. This mask makes use of the new CAS12a-based opvCRISPR platform. For this CRISPR platform, when COVID is detected within a sample, it changes from being colourless and transparent to a translucent green. This colour change is also sensed by a microchip, which initiates a red warning light and an alarm sound.

 

The mask is composed of three layers:

1st: a waterproof fabric layer

2nd: a protective layer

3rd: a chemical detection layer

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About the project – AnalySound

AnalySound is a portable device that aims to bring greater convenience to the deaf. This device inputs and analyses common sounds in daily life, then alerts the user of the identity of such sound using a screen. This device could take up a vital role in dangerous situations, such as when a siren or a fire alarm is sounded, then the user can be alerted and be aware. Otherwise, in less urgent scenarios, this device can still prove useful as an aid to the user, such as notifying them when a doorbell rings. This device is a modified smartwatch that contains the AnalySound software/application, as well as a buzzer that can vary in intensity depending on the degree of danger of sound detected with a display screen.

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