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Description

"PyPro," made by PLT Development Firm, is a web-based platform that harnesses Python's accessibility to offer an optimal entry point for budding coders who find conventional teaching methods intimidating. PyPro offers an easy-to-follow learning curriculum, starting from fundamental coding principles and progressing to advanced topics like aspects of Object-Oriented Programming (OOP). This curriculum is delivered through an interactive teaching game, designed to provide incentives and consistent progression, helping new users build confidence. Surrounding this teaching game, we've built a robust learning community with features like friendship systems for personal messaging, open discussion threads, and engaging rotating coding challenges. What sets PyPro apart is its foundational architecture, purposefully designed for future expansion and relevance, ensuring the platform grows hand in hand with the community it serves. Join us at PyPro, where coding education becomes accessible, interactive, and supportive, setting the stage for endless possibilities.

Team Members

Yuntian Lu 
Matthew Munday
Mahmoud Nahle
Haoxuan Peng
Ruoxu Shen

Description

Our project aims to streamline the tracking and management of company inventory. Stockor enables users to efficiently monitor and manage inventory levels. Businesses can gain detailed summary statistics to drive intelligent business decisions and improve profitability. The software allows businesses to have full control over the system, providing them with the assurance of data confidentiality unlike other third party software.

Team Members

Brendan Alderton
Parikchit Bhattarai
Brandon Burger
Rowan Kelley
Ryan Mills
Adrian O'Rouke

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Our group, Cyber Protect, have a strong passion for protecting all against the cyber risks that exist in the world around us. We wanted to design an exciting and fun website for our target audience to use that opens their eyes to the world of cyber dangers, and to then protect themselves as best as possible. We have designed the website with calming colours, an easy to use menu that allows users to navigate to textual information about threats and defence strategies accompanied by watch easy-to-understand videos backing this information up, as well as the opportunities for users to test themselves on the new knowledge they are learning about. All in all, achieving the main goal of a safer cyber experience for all.

Team Members

Zahra Bandukwala
Sawin Neelappage
George Panasetis
Vithyakaran Parameshwaran
Dhruval Sunilbhai Soni

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Description

SocketFit supports people with below-knee amputations in maximising their overall comfort by tracking pressure values within their prosthetic socket fit. Pressure data can be useful for clinicians in designing a prosthesis that better fits the wearer. Collected data will allow researchers to understand the baselines for comfortable pressure, which can improve future prosthetic designs.

Team Members

Diyanah Afendy
Harvey Brett
Sarah Edie
Brendon Kortekaas
Megha Mohan
Jack Wason

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Description

Nursic is an Electronic Medical Record training tool designed to mimic real world EMR systems used in NSW hospitals and assist in teaching nursing students how to complete various bedside activities required of them in a real world environment.

Nursing students are able to complete digitised versions of medical forms, input patient information such as clinical notes and provide admission information. This enables them to participate in medical scenarios orchestrated by their teacher in order to gain a better understanding of bedside activities.

Nursing faculty are able to interact with the web application by creating the patients that the students will be interacting with as part of their work. Teachers are also able to select which patients are visible to the students in the system to better design scenarios for the students to complete.

Team Members

Danyon Corby 
Jayson Hintz
Nanda Kumar Karumathil Sunil
Gaurav Adarsh Santosh
Dean Srbinoski
Joel Wright

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Description

OnTRAK is a web-based tool designed to empower transport analysts and rail professionals by providing invaluable insights into rail traffic management. Initially developed for the complex NSW rail network, which manages over 3,200 daily timetabled services, OnTRAK addresses the challenges of disruptions, punctuality issues, and their impact on passenger satisfaction.

This comprehensive tool offers a user-friendly, feature-rich, front-end visualization tool, a robust backend simulator, and a dynamic database integrated with the latest GTFS data from Transport for NSW. It enables transport personnel to experimentally explore normal and disrupted rail circulation scenarios, aiming to significantly enhance disruption response strategies.

OnTRAK's modular design allows the interchangeability of the simulator component, offering adaptability and scalability. Beyond rail, OnTRAK has the potential to be utilised for transportation management across various modes, wherever GTFS feeds are available. OnTRAK, delivering a shift towards enhanced efficiency and increased passenger satisfaction in rail traffic management.

Team Members

John Algie
Liam Bubb
Kartik Khatri
Khushreet Kaur
Kim Miller

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Description

The project's primary objective is to create a user-friendly and robust web service that leverages artificial neural network (ANN) models to predict stock market trends effectively. The web service prioritizes user-friendliness. The interface is intuitive and accessible to both novice and experienced investors. Users have access to a wide range of stock market data and insights presented in a clear and actionable format. The heart of the project lies in the accuracy of stock market predictions. ANN models are meticulously trained and fine-tuned using historical market data. Regular updates and improvements are incorporated to enhance prediction accuracy continually. The project delivers a cutting-edge web service that empowers users with accurate stock market predictions while prioritizing ease of use and scalability for long-term success.

Team Members

Zhi Li
Zhi Lin
Yuzheng Liu
Meng Qi
Tingyu Zhao

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Description

The Stitch Index is a web based platform tailored exclusively for medical professionals and aspiring medical students in the dynamic realm of medical education and professional development. This multifaceted application prioritizes knowledge exchange by providing a distinctive setting for publishing and enrolling in peer developed courses, bridging the gap between experienced medical practitioners and rest of the industry. Through the integrated chat, forum and meeting scheduling features, the application aims to foster peer-to-peer connections within a broad professional network to support ongoing learning by emphasizing mentoring and collaboration. 
The Stitch Index "stitches" various tools and resources to achieve a greater level of convenience, flexibility and effectiveness for professional medical education. Its nature as a centralized online medical education platform positions it to become an essential tool as the landscape of medical education changes, fostering a culture of cooperation, creativity, and higher standards in professional development and training.
 

Team Members

Ngai Chun Fu
Hau Wei Chuen 
De Hou Kok
Lee Mun Kit 
Ann Siong Ong

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Description

OnkoDICOM is a specialised software tool designed for radiation oncologists to conduct research on various DICOM standard image sets, such as DICOM-RT, CT, MRO, and PET.

Team Members

Daniel Horton
Mia Nguyen
Tran Phuc An Nguyen
Huynh Lan Vy Pham
Philip Thomas

Description

Team Members

Yifan Bai
Isaac Farrell
Priya Narayanan
Jojo Raincy
Luke Sanger

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Description

Coding Companion is a specialized e-learning platform dedicated solely to Python programming. Created using the powerful MEAN stack (MongoDB, Express.js, Angular, and Node.js), the platform focuses on providing foundational to advanced Python programming courses. Users can engage with a user-friendly interface that includes real-time code editors, an interactive Python console, and a personalized dashboard for tracking learning progress. A standout feature is the integration of the GPT API for chat-based assistance directly in the code editor. This allows users to receive immediate, intelligent help for coding issues, syntax errors, or general Python programming questions right within the platform. With the incorporation of gamification elements like progress tracking and daily login streaks, Coding Companion not only educates but also keeps users motivated. The platform aspires to be a dynamic hub for Python enthusiasts to learn, practice, and excel in Python programming.

Team Members

Christopher Androutsopoulos
Shaharyar Asim
Jonathan Charalambous
Joshua Durston
Matthew Greening

Description

Team Members

Alex Mckenzie-Hicks
Ashwanth Reddy Pakala
Jibin Paul
Esteban Rodriguez Ognjanov
Angus Taylor

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Description

The Datawise system represents an advancement in the field of database management. It has been crafted to streamline the creation of database scripts, requiring minimal user input. By simply presenting the system with a fundamental database schema comprising multiple tables and specifying the desired data types to populate those tables, users can effortlessly generate a comprehensive database, complete with sample data that adheres to their logical constraints.

However, Datawise is more than just a database automation tool; it stands as an invaluable educational resource with the potential to transform the way database subjects are taught at higher education institutions, particularly at the University of Wollongong.

In the academic context, Datawise emerges as a potent ally for educators and coordinators tasked with imparting knowledge in database-related subjects. Its intuitive interface and efficient automation significantly reduce the time and effort required for both instructors and students to grasp the intricacies of database design and management.

Team Members

Brandon Cha
Eloise Corona
Dang Luu
Hue Minh Nguyen
Anh Quan Tran

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Description 

The School of Nursing needs a productive system for allocating workload and managing 
activities to streamline operations and boost overall performance. To meet this demand, we 
suggest creating a thorough web-based application that would enable many stakeholders, such as students, instructors, and administrators, to control and monitor numerous facets of the school's operations

Team Members

Hongwei Jiang
Yifan Ma
Huanwei Wang
Qi Yin
Wenquan Zhang

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Description 

Sunset Stories is a user-centric and visually engaging web platform with a mission to empower parents, caregivers, and educators by providing a valuable resource for creating personalized social stories and PECS cards for children. The website encourages social learning and growth, encourages inclusivity and understanding, and places a special emphasis on appealing to young audiences and communities around the world that identify as neurodivergent. Sunset Stories continues to have a beneficial influence on children's and families' lives thanks to its carefully crafted brand identity, clear information architecture, and dedication to accessibility. The project's commitment to distributing approachable stories and assisting kids' social-emotional learning journeys does not waver as it develops. 

Team Members

Jack Ryan Burton-Woods
Nathan Hunter
Amanda Moss
Min Htut Myat
Rummon Walid Prottoy 
Ali Saleh

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Description 

Arthritis is a ubiquitous chronic condition that affects a significant number of people in Australia, with an estimated 3.6 million (15%) Australians currently suffering from it. Arthritis can be frustrating and exhausting, affecting patients' quality of life as well as that of their families. This is where ArthriCare comes in, offering a new way for patients to take control of their health. 

One of our proud features in ArthriCare is the exploitation of gamification mechanics. We use game design elements to engage and motivate users, aiming to improve their medication adherence and help them achieve their health goals.

The other feature that we're particularly proud of is the Community and Message sections. We understand how important community support and friendships can be, especially for those managing chronic diseases like arthritis. Therefore, we've put in lots of effort into these sections, so that patients could engage in one-on-one chats as well as group discussions within the arthritis community.

Team Members 

Lin Gan 
Boon Wei Donovan Ho
Tianyi Hu
Qiqi Huang
Sara Kurachi
Jihao Li
Zhenxi Zhang

Description

Ascend is a comprehensive and engaging time management system with gamified elements.

Users are able to track their progress with a simple yet effective tasks page,

and can dedicate time to completing their tasks with our focus mode.

Once tasks are completed, the user gains XP and levels as proof of progress, which is

shown visually through climbing a mountain on our progress page.

The user can also access extra information on their progress through the analytics page.

We have built a streamlined login system for users to have access to all their previous tasks.

Ascend is built as a PWA for all screen sizes and is available both in browser, and as a downloadable app.

Team Members 

Alindo Alindo
Yitong Fu
Max Papathanasiou
Matthew Payne
Michael Sipina

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Description

Pro Estimate is an application that provides the prediction of real estate properties.

Our project aims at developing a concise, practical and efficient online web application for customers with accurate prediction results.
The project includes two main parts, the web for end-users and the validation of housing price prediction by machine learning. We collect all the NSW property transactions from 2001 to 2022, in order to develop a better-generalized model in a short period of time, we filtered the source data by selecting only properties of the residential type, with a price range of $30,000 to $3,000,000, excluding residences of the unit type, and the number of transactions in each range must reach a certain threshold value.
After the filtering, 1.6 Million (originally it was 4.2 Million) transactions are kept for the model training and our webpage will only record those of data.
Our web deployed on the Aliyun cloud server

Team Members

Guoqiang Chen
Chenjun Guan
Meiyun Wang
Huanfu Zhang
Jinghao Zhang

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Description 

SOCURE is a new DDos prevention and cyber threat intel platform that provides automated DDos Detection, detailed customizable threat reports and analytics to help protect and prevent malicious attacks. Deployed along side a full security operations center SOCURE monitors, detects, investigates and logs information about where attacks are coming from and blacklist problematic IP addresses to help protect your information
SOCURE provide continuous monitoring, Alert ranking and immediate threat response to provide the highest level of security to your network. Utilizing a Honeypot system potential threats can be screened and recognized before they become an issue preventing any further intrusion.

Team Members 

Charlie Johnson
Angus Jones
Oscar Rodgers
Luke Thorpe
Hayden Welsh

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Description

SecBoard is an open-source project delivering a blockchain-enabled secure bulletin board website that allows users to publish information, advertisements, and notices. The blockchain systems improve the trust, security and transparency of the data. However, many practical issues arise addressed in developing a blockchain-based bulletin board. For example, a malicious user may publish illegal information or private information about others, which must be removed from the blockchain, which cannot be tampered with to maintain integrity. By utilising and implementing recent research into editable blockchains, we implement a blockchain that allows for corrections to be made, supporting both edits and deletions of posts. To prevent the malicious deleting and editing of existing posts, we implement a trusted administration group to validate and verify the posts. 

Team Members 

Jiayu Hu
Oliver Lambert
Raed Mustafa
Sneha Lakshmi Radhakrishnan
Aaron Ryan
Adrian Vergan

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Description 

QR True is a mobile application that allows uses to be informed of any potential risks associated with a QR code. This is achieved by analysing the link embedded within a QR code and performing a series of cryptographic checks to give the user a safety score and provide a list of the potential dangers that a link may contain. 

Team Members 

Jai Brancato
Zachary Hale
Blake Hurford
Jeffrin Joy
Harrison Pryke
Angus Vitelli

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Description 

The aim of the Unannoying application is to develop an intuitive mobile application for the Android platform that will educate users about security dangers such as phishing emails, calls, and texts while allowing them to block these potentially dangerous forms of communication. The project seeks to provide an extensive, user-friendly solution. 

Unannoying aims to offer a solution that not only alerts users of potentially malicious text messages, emails, or phone calls but also provides descriptions as to why a message is flagged as malicious, utilizing advanced machine learning models to enhance user protection from these threats. 
 

Team Members

Ethan Chadwick
Thomas Damcevski
Vamshika Peddi
Rijul Sobti
Aditt Mehul Vaidya
Luke Whiteman

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Description 

Neonote is a simple yet intelligent take on a classic mobile 'notes' application. It offers an ultra-intuitive experience that tastefully integrates multimedia and cutting-edge AI functionalities. Unlike typical note-taking apps, Neonote allows you to combine notes with your voice memos and images, as well as saving time and energy with our image or voice-to-text features. 
Neonote’s primary focus is to expand note creation beyond the simple text format without complicating the user experience. All of our app functions can be executed in as few as 3 taps to allow you to curate information in the speediest and simplest manner possible. Whether you're jotting down ideas, recording thoughts, or organizing your info, Neonote will be your dependable companion. 
With Neonote, we have provided a comprehensive solution for anyone seeking a harmonious blend of simplicity, functionality, and convenience in their note-taking endeavours.
 

Team Members 

Barrett Bujack
Ethan Dharma
Thomas Dickson
Isaac Leon Giesajtis
Jodie Soondra
Ivan Thew