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Gifted Education Fund - AIoT Coding, Engineering and Entrepreneurial (CE2) Skills Education for Gifted Students Project Exhibiton
      

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 InformationPoster
P1
Automated Wild Fire Prediction
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.

Project ID : P2
AI-assisted Budget Keeper

Project InformationPoster
P2
AI-assisted Budget Keeper
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

Project ID : P3
Eyesight Protector

Project InformationPoster
P3
Eyesight Protector
Student Names:
Chan Chun Ting, Lai Ching Fung
Video Demo Not Available
GitHub
We aim to nuture good computer usage habits, protecting eye sight.

Project ID : P4
Music Score Page Turner

Project InformationPoster
P4
Music Score Page Turner
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

Project ID : P5
Financial AI with Sentiment Analysis

Project InformationPoster
P5
Financial AI with Sentiment Analysis
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.

Project ID : P6
Automated Registering System through Facial Recognition

Project InformationPoster
P6
Automated Registering System through Facial Recognition
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.

Project ID : P7
Elderly Fall Detection System

Project InformationPoster
P7
Elderly Fall Detection System
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.

Project ID : P8
Overcrowding Management Tool

Project InformationPoster
P8
Overcrowding Management Tool
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).

Project ID : P9
iSee

Project InformationPoster
P9
iSee
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.

Project ID : P10
AI Light

Project InformationPoster
P10
AI Light
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.

Project ID : P20
Mask Recognition on Public Transports

Project InformationPoster
P20
Mask Recognition on Public Transports
Student Names:
Ames Ng
Video Demo
GitHub
Approving Octopus transaction when the system recognizes you wearing a mask correctly.

Project ID : P21
AIoT Bedroom

Project InformationPoster
P21
AIoT Bedroom
Student Names:
Au Ka Long
Video Demo
GitHub
AI and IoT technology to improve bedroom environment.

Project ID : P22
Nails for Health

Project InformationPoster
P22
Nails for Health
Student Names:
Cheung Ethan Tung Hei
Video Demo
GitHub
Detecting patterns of the nails, which correlate to certain diseases, or health problems.

Project ID : P23
Book Sort

Project InformationPoster
P23
Book Sort
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.

Project ID : P26
OCR Technology

Project InformationPoster
P26
OCR Technology
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.

Project ID : P27
Safely Sail (AI)

Project InformationPoster
P27
Safely Sail (AI)
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.

Project ID : P28
Trusted Friend

Project InformationPoster
P28
Trusted Friend
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.

Project ID : P30
Defect Detection in Irwin mangoes (Mangifera indica)

Project InformationPoster
P30
Defect Detection in Irwin mangoes (Mangifera indica)
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.