Gifted Education Fund - AIoT Coding, Engineering and Entrepreneurial (CE2) Skills Education for Gifted Students
Student Project Exhibiton
Project ID : P1
Automated Wild Fire Prediction
Project Information | Poster |
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P1
Automated Wild Fire Prediction
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Student Names: Alicia Yuen, Maya Lily Yan, Valentina Banner | |
Video Demo | |
GitHub | |
Our project aims to improve the efficiency and effectiveness of forest fire preventation and response efforts by using data analysis and machine learning to predict and prevent wildfires. Our model looks at the factors of temperature, wind speed, rain size, and relative humidity to indicate the percentage chance of wildfires, as those are the four most determing factors.
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Project ID : P2
AI-assisted Budget Keeper
Project Information | Poster |
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P2
AI-assisted Budget Keeper
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Student Names: Au Ho Kuen, Kyle Chen, Yang Hip Hing | |
Video Demo | |
GitHub | |
Financial literacy is low among young people. So we decided to create a budgeting application which utilises AI, which makes it more convenient and interesting. Hopefully alleviating the problem
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Project ID : P3
Eyesight Protector
Project Information | Poster |
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P3
Eyesight Protector
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Student Names: Chan Chun Ting, Lai Ching Fung | |
Video Demo Not Available | |
GitHub | |
We aim to nuture good
computer usage habits,
protecting eye sight.
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Project ID : P4
Music Score Page Turner
Project Information | Poster |
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P4
Music Score Page Turner
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Student Names: Chan Yat Long Ariel, Cheung Tsz Hong | |
Video Demo | |
GitHub | |
To allow for continuous reading of a music score during play, an automatic music score page turner is created for musicians using Optical Music Recognition (OMR) and Dynamic Time Warping (DTW) technology
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Project ID : P5
Financial AI with Sentiment Analysis
Project Information | Poster |
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P5
Financial AI with Sentiment Analysis
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Student Names: Choe Jungrhin, Emma Mui, Manun Chauhaan | |
Video Demo | |
GitHub | |
Using AI to capture the linguistics behind what affects consumers' behaviour and choices, to better predict consumer response to economic events.
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Project ID : P6
Automated Registering System through Facial Recognition
Project Information | Poster |
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P6
Automated Registering System through Facial Recognition
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Student Names: David Han, Krish Gupta, Xiang Yiu Lok Jack | |
Video Demo | |
GitHub | |
In the project, we aim to streamline the attendance taking process within schools and universities. This goal shall be achieved by utilising facial recognition to compare each student with an existing database.
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Project ID : P7
Elderly Fall Detection System
Project Information | Poster |
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P7
Elderly Fall Detection System
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Student Names: Kwok Tsz Yi Theodora, Ma Hiu Ching, Zahabiyah Muffadal Boty | |
Video Demo | |
GitHub | |
This project aims ensure safety of elderlies and provide reassurance for their family members. Through utilizing machine learning and sensor technology, we strive to predict the occurrence of a fall to minimize the possible detrimental effects.
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Project ID : P8
Overcrowding Management Tool
Project Information | Poster |
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P8
Overcrowding Management Tool
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Student Names: Lau Yik Man, Lee Hong Muk Hugh | |
Video Demo | |
GitHub | |
Our project aims to mitigate overcrowding in markets and exhibitions, and reduce its effects (e.g. casualties).
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Project ID : P9
iSee
Project Information | Poster |
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P9
iSee
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Student Names: Lee Pui Wing Adeline, Lee Pui Yan Beatrice | |
Video Demo | |
GitHub | |
Elderly's mobility and eyesight tend to deteriorate over the years which results in constant accidental trips and falls. We aim to improve the situation by designing "iSee" with collision avoidance technologies.
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Project ID : P10
AI Light
Project Information | Poster |
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P10
AI Light
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Student Names: Li Kin Man, Wong Lam Yeung, Yang Yuen Ting | |
Video Demo | |
GitHub | |
Having eyes disease nowadays was hugely popular which is mainly cause by using the phone in the dark environment. So, we will send a message to the user to remind he/she turn on the light. If not, just help them to turn on. Also, remind them to blink eye if they not do so.
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Project ID : P20
Mask Recognition on Public Transports
Project Information | Poster |
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P20
Mask Recognition on Public Transports
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Student Names: Ames Ng | |
Video Demo | |
GitHub | |
Approving Octopus transaction when the system recognizes you wearing a mask correctly.
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Project ID : P21
AIoT Bedroom
Project Information | Poster |
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P21
AIoT Bedroom
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Student Names: Au Ka Long | |
Video Demo | |
GitHub | |
AI and IoT technology to improve bedroom environment.
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Project ID : P22
Nails for Health
Project Information | Poster |
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P22
Nails for Health
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Student Names: Cheung Ethan Tung Hei | |
Video Demo | |
GitHub | |
Detecting patterns of the nails, which correlate to certain diseases, or health problems.
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Project ID : P23
Book Sort
Project Information | Poster |
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P23
Book Sort
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Student Names: Chris Huang | |
Video Demo Not Available | |
GitHub | |
My code is a way to use structural similarity to judge the quality of a used book with most damage done to its cover by comparing it to the stock photo.
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Project ID : P26
OCR Technology
Project Information | Poster |
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P26
OCR Technology
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Student Names: Lo Pak Ki Kapakki | |
Video Demo | |
GitHub | |
Optical Character Recognition (OCR) is the process that converts an image with text into a machine-readable text format.
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Project ID : P27
Safely Sail (AI)
Project Information | Poster |
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P27
Safely Sail (AI)
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Student Names: Tong Yuk Chun | |
Video Demo | |
GitHub | |
Safely Sail (AI) is a computer vision and AI based Sailing Safety Monitor that detects dangerous situations on sailing dinghies, and alerts lifeguards via the cellular network for timely rescues. It is as if there were a pair of eyes on every boat in the fleet 24/7, allowing for faster rescues and more lives saved.
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Project ID : P28
Trusted Friend
Project Information | Poster |
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P28
Trusted Friend
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Student Names: Tsang Siu Yin | |
Video Demo | |
GitHub | |
There is a lack of social workers to deal with the increasing cases of mental disorders. This AI can detect emotions which can be useful to mimic a social worker when combined with a linguistic model.
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Project ID : P30
Defect Detection in Irwin mangoes (Mangifera indica)
Project Information | Poster |
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P30
Defect Detection in Irwin mangoes (Mangifera indica)
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Student Names: Zachary Tang | |
Video Demo Not Available | |
GitHub | |
Farmers, wholesalers and retailers around the world often rely on human labor to verify a fruit's saleability, leading to high percentages of costly food waste, supply chain carbon emission and unnecessary packaging. This project aims to develop a defect detection model in YOLOv8 to identify predetermined defects such as discolouration and bruising, initially using Irwin mangoes (Mangifera indica) common in Taiwan, to help address this issue by identifying defects faster, cheaper, and more accurately.
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