IFF2023 Champion (Secondary)
School : St Stephen’s Girls’ College
Project : Eat it All

Hong Kong produces over 3400 tonnes of food waste every day. Current treatment methods – such as decomposing, donation and landfilling – are impractical and unsustainable; and incineration may lead to air pollution. Additionally, huge and increasing amounts also imply a waste of food resources.

Working with the principle of reducing waste at the source, we designed the “Eat It All” system. It consists of a smart menu, food shelf and cloud database. On pressing the menu-update button, the prices of dishes are automatically adjusted to give discounts so that soon-to-expire ingredients are consumed faster. Varying dish sizes are also an option so that customers only order what they can finish. The smart menu is connected to the smart food shelf which automatically sends the required ingredients for each dish. The cloud database (storing data on ingredient quantities and expiry dates) is automatically updated whenever ingredients are added or used. The database also provides information on popular dishes and the ingredient purchase history for reference. With automation leading to convenience, efficiency and accuracy is the key success of the ‘Eat It All” system.

“Eat It All, Waste No More!”

IFF2023 1st Runner Up (Secondary)
School : St. Paul’s Convent School
Project : Miss Pauline 2.0

It’s nothing new that students in Hong Kong are under a lot of stress. What’s concerning, however, is that despite
the skyrocketing rates of self-harm cases, only a small portion of students have the incentive, and are willing to seek help. Students could talk to a teacher or any trusted adult, but they’re not always easy to find. Besides, they may find it embarrassing to talk about these feelings. To combat this problem, students from St. Paul’s Convent School designed Miss Pauline, an always-available mental health assistant who moves around the school, encouraging students to reflect on their own mood, develop a habit of emotional management, and to vent their feelings whenever they need to.

IFF2023 2nd Runner Up (Secondary)
School : Heung To Secondary School (Tseung Kwan O)
Project : Care of you

“Care of you” identifies the hand gestures of the patients by artificial intelligence (AI) technology. Under this technology, the hand gesture of patients such as raising the thumb or index finger can be recognized by AI algorithms through the web camera. After recognizing the hand gesture successfully, the recent photos of their families, relatives, friends and grandchildren can be shown through the monitors, selfie clips can be broadcasted and the encouragement words prepared by families, relatives, friends and grandchildren to the patients can be played so that they can feel warm and maintain the relationship with their families, relatives and friends. In addition, the product allows the patients who are difficult to speak to express their needs to through the mobile app, making it easier for caregivers to provide them with appropriate support, so that they can feel the caring from the society or people taking care of them.

IFF2023 Champion (Tertiary)
School :
Lingnan University

Project : SEAT: A General Framework for Seat Management in Public Space

In library, seat hogging (i.e., occupying a seat solely by objects like laptops, books, bag, etc.) is a serious yet difficult problem to be solved. It requires a large amount of manpower to find and clear hogged seats (not to mention handling the “post-clear” disputes arise when seaters sometimes complaint they only left for a short toilet break but was mistaken as hogging). This project aims to design a quantitative, cheap and effective solution to monitor seat hogging. We use IoT devices (e.g., Infra-red sensors, capacitance sensors, etc.) to detect and time when specific seats at a shared public table are occupied – either by humans or by objects (i.e., the seats are being “hogged”).

IFF2023 1st Runner Up (Tertiary)
School : Hong Kong Institute of Vocational Education (Sha Tin)
Project : ZeroVio 零暴

In the context of the ZeroVio, software engineering techniques were used to develop a software system that supports human activities by providing real-time video surveillance of violent events. The system is designed to efficiently and effectively monitor and prevent violent incidents, which is critical for ensuring public safety.

One key software engineering technique used in this project was the application of computer vision and machine learning algorithms to automatically detect and identify violent incidents in real-time video footage. This automated process greatly reduces the workload of human security personnel, who would otherwise need to manually monitor video feeds and identify potentially violent behavior.

Another important software engineering technique used in the ZeroVio project was the design of a user-friendly interface that makes the system accessible and easy to use for a wide range of users, including security personnel and members of the general public. The system is designed to be intuitive and easy to navigate, with clear and concise notifications that alert users to potentially violent incidents as they occur.

IFF2023 2nd Runner Up (Tertiary)
School : The Hong Kong Polytechnic University
Project : EcoQuest – Turn Gaming into Green Action

EcoQuest, making carbon footprint visible and accessible.
EcoQuest is an environmental education app dedicated to inspiring low-carbon awareness and guiding low-carbon actions. With its unique gamified experience, it allows you to have a clearer understanding of carbon neutrality knowledge. By combining augmented reality (AR), it enables you to easily engage in low-carbon actions around you. Let’s together understand why and how to protect the environment, join hands, and move towards a carbon-neutral world. The app is currently available for download on the App Store. Feel free to download it.

IFF2023  Certificate of Excellence (Secondary)
School : Diocesan Girls’ School
Project : Wearable Stress Tracker

Description :
The arduino-powered wearable stress tracker is an advanced and user-friendly device that utilizes IOT technology to monitor and analyze various physiological parameters associated with stress, including heart rate, skin conductance, and body temperature. Equipped with a real-time LCD display screen, this innovative tracker provides users with immediate access to their physiological data, allowing them to gain valuable insights into their stress levels. The display not only shows the current readings of these parameters but also offers personalized suggestions and techniques to help users effectively lower their stress levels. Powered by an Arduino microcontroller, the device employs sophisticated algorithms to process and analyze the collected data, enabling the detection of patterns and trends in stress responses. Its ergonomic design ensures a comfortable fit, allowing users to wear it throughout the day without any inconvenience. By empowering individuals with real-time feedback and personalized recommendations, the arduino-powered wearable stress tracker enables them to take proactive steps towards managing their stress and achieving a healthier, more balanced lifestyle.

IFF2021/22 Champion (Secondary)
School : St. Stephen’s Girl’s College
Project : Care-E-Bot

Description :
As the ageing trend in Hong Kong’s current population continues, the number of elderly individuals living alone is increasing. Their health condition and lack of social contact has become a significant social issue. To maintain psychological well-being, we have designed “Care-E-Bot” – an intelligent companion for the elderly in our community.

“Care-E-Bot” is specially designed for Hong Kong so operates in Cantonese for the local context. “Care-E-Bot” will initiate conversations and respond like a human. It also switches electrical appliances on/off, and helps the elderly to send phone messages by verbal commands. It records the content of these conversations as cloud data for family members’ later reference. Furthermore, “Care-E-Bot” can analyze answers to pre-set questions which are occasionally added to the daily conversation, detecting early signs of cognitive impairment or depression. “Care-E-Bot” is designed as lightweight and portable making it convenient for an elderly person to carry. It not only takes care of the mental well-being of the elderly but also helps to alleviate stress on caregivers.

IFF2021/22 Champion (Tertiary)
School : IVE/Shatin (417 Technology)
Project : PresentAR

Description :
“Present AR” is a revolutionary application designed to redefine the realms of presentations and educational experiences. Its cutting-edge technology seamlessly blends the physical and digital worlds, offering an immersive and interactive platform for both presenters and learners.

At its core, Present AR thrives on its ability to create dynamic and engaging learning environments. Users can interact with virtual objects as if they were tangible, bringing a new level of interactivity to presentations. This not only enhances the audience’s experience but also integrates the speaker more deeply into the presentation, making it a more memorable and impactful event.

For primary education, Present AR is a game-changer. It transforms traditional storytelling into a vivid, interactive journey. Imagine a classroom where children can explore storybook worlds, interacting with characters and elements in real-time. This not only captivates young minds but also nurtures crucial skills like critical thinking, problem-solving, and creativity, making learning a joy rather than a chore.

A standout feature of Present AR is its integration of AI technology for human posture detection. This innovation allows for precise tracking of the user’s movements, ensuring a fluid and natural integration into the virtual environment. The result is a deeply immersive experience that fosters a stronger connection to the content, making learning more personalized, engaging, and ultimately, more effective. Present AR is not just an application; it’s a gateway to a new era of interactive learning and captivating presentations.

IFF2020 Champion (Tertiary)
School : The Hong Kong Polytechnic University
(CLAIRE Clinical AI Research Limited)
Project : An AI-based Progression Risk Assessment System for Knee Osteoarthritis 

Description :
CLAIRE Clinical AI Research Limited is a university-based startup that develops an AI-driven system to improve the management of musculoskeletal diseases, such as Knee Osteoarthritis, which is the major cause of knee pain in the elderly. Conventional clinical practice requires costly medical imaging for diagnosis. This hence limits the community’s accessibility to early disease detection, leading to delayed treatment in most cases.

By utilizing advanced AI and motion tracking technologies, CLAIRE introduces the Knee Osteoarthritis Community Screening System. The system analyzes the users’ posture and motion with only a camera on the mobile device and provides them with a risk profile of the disease, enabling low-cost early detection of knee osteoarthritis in the community and timely treatment for the disease.

Using our mobile application, users in the community can receive self-management support through health tips, personalized exercise recommendations, and continuous monitoring. CLAIRE is expanding its product to address other related musculoskeletal diseases, aiming to safeguard public health and patient well-being.