Proposed projects

Project(s) proposed by Gemstory World Pte Ltd

Project #1

Project Title: Enhance/Improve Customer Retail Experience through knowledge based learning and interactive media (Videos, Profiling Test, Infographics etc)

Project Description: Create a solution that allow customers to be profiled when they enter the retail store based on their wants and needs to help them in the selection of the different types of gems and products available. Understand their mind state or their requirements by allowing them to answer a few simple questions from the app to identify their emotional mind state, their energy levels, and help them in their shopping journey.

Embed videos with illustrations of the different gems healing properties and guide them along their selection journey to effectively allow them to be directed to the correct location of where the gems and products are located. This can help save a lot of time for us to talk to every individual walked in customers.

Core Deliverable: Digital Solution for Customers Profiling Software or App to enhance in store customers experience. Create digital solution to help to identify customers journey within retail outlet to help analyse and profile every customer who walked in to the store. Track and collect data analytics to enhance customer experience via the data collected.

Point of Contact: Glenn Poh glennpoh@gemstory.asia

Project(s) proposed by Carecam

Project #1

Project Title: Visual AI medical toolkit on edge device

Carecam is a venture-backed spinoff that aims to research, develop and commercialize transformational visual understanding AI, that will significantly enhance the visual acuity of medical professionals

In this project, we will co-develop a new assessment tool for medical clinicians, which tend to lack access to digital and objective solutions. Currently, physiotherapists or geriatrics rely heavily on subjective and inefficient visual analysis with their patients, which is time-consuming, error-prone and lacks data insights.

The students are challenged to build a mobile application system with a microservice architecture. Students are required to develop an end-to-end solution recommended by them. As for the operating logic, students would be required to package the Tensorflow lite model and deploy it onto iOS or Android platform.

The final product will enable the user the ability to:

- Analyse and visualize gait analysis

- Predict the risk of neurological or musculoskeletal diseases

Our technical co-founders will mentor and work closely with the team to develop and ultimately deploy the built solution in a real-world commercial setting. Students will have the chance to work with top research scientists on a government statutory board and our internal U.S technical team.

If you're interested in working with us, kindly contact Elson Yong (elson.yong@carecam.ai) for further information.

Project(s) proposed by SingHealth

Project #1

Project Title: TEMI Night Patrol

Project Description: Use case exploration of having a night patrol using TEMI and alerting onduty staff when patient requires assistance in fall risks wards. The solution should have adequate lighting at night for effective patrol at designated spots of the ward with poorer visibility (dim areas) or allow visibility at night through web camera / TEMI for TEMI to perform night ward round without causing any disturbance to other sleeping patients (ie. No bright lights or noises)

There should be an alert or notification sent back to Nursing main counter to alert Nursing staff of patient’s larger movement (ie coming down from bed) during night and dark time. This is to ensure the patients’ safety at night time when the ward lights may be dim and patient may require assistance.

Core Deliverable: TEMI night patrol working prototype

Point of Contact: Trilbie Kwok trilbie.kwok.c.p@singhealth.com.sg

Project #2

Project title: Implementation of a Cognitive load theory (CLT) based mobile phone application to improve knowledge of junior medical staff in the Surgical Intensive Care Unit

Project description: For medical officers (MOs) and non-anaesthesia residents who rotate to Anaesthesia, there is lack of appropriate opportunity for time-based training to ensure competencies in Intensive Care Unit (ICU) subject areas in the short 6-month MOPEX (for MOs). To address this gap, we aim to develop a Cognitive load theory (CLT) based web-based or mobile phone application that will serve as a convenient and informative on-the-job aide memoire to suit the technological inclination of millennial learners. We will condense key concepts and lessons into nuggets of wisdom that our users can refer and take away easily. This app should also have in built calculators for various risk prediction scores and be a versatile platform to push guideline updates.

Learning opportunities: Students will incorporate the use of CLT in designing a mobile phone or web-based application to aid user learning in the fast-paced ICU clinical environment.

Deliverables: Design and build a cross-platform (Android and iOS/iPadOS) mobile or web based application with userfriendly interface that contains easily accessible content for easy on-the-job referencing and learning, and calculators for various risk prediction scores in the ICU.

Develop usage analytics: Students may propose IT solutions that fit the above purpose better and engage the users in learning more effectively.

Point of contact: For more information, please contact Sui An (lie.sui.an@singhealth.com.sg)

Project #3

Project Name: My Neck Companion

Project Description: Neck pain is a highly prevalent condition that may led to significant pain, disability and economic cost. At the SGH Outpatient Musculoskeletal Clinic, 20% of our patients suffer from neck pain. As part of our interventions for these patients, we frequently prescribe neck mobility exercises to encourage patients to move in the day.

At current, patients are given an exercise sheet for their prescribed exercises. However, adherence to these exercises are problematic, with literature reporting up to 70% who do not comply with their prescribed exercises. My Neck Companion hence aims to improve adherence and build self-efficacy with regards to encouraging exercise at home with the use of the app.

A basic prototype of the software is available on https://github.com/xavierchia/NeckStretch

Deliverables: We hope to continue to develop this app prototype to better motivate patients to move more often and also track how often they are doing the exercises. These include,

1) Incorporating augmented reality (AR) / gamification features into the current application

2) Software development features such as push notifications, exercise statistics, verbal instructions

3) Exercise development features such as holding a hold function to the current exercises, as well as incorporating additional shoulder exercises where applicable

4) Incorporating surveys for user satisfaction/patient reported outcome measures with the app

Point-of-contact: Gary Koh gary.koh.j.s@sgh.com.sg

Project #4

Project title: Roster planning automation

Project description: Planning the roster for radiographers at the Neuroradiology department in NNI requires much careful consideration on the planner's part to ensure optimum manpower deployment. It is currently a demanding, manual process whereby the planner has to take into account various skillsets, staffing numbers and time-off or leave requests to create the ideal 2-week roster. The challenge provided is to automate this labour intensive process. The guidelines that are abided by the roster planning team will be provided and students are given the opportunity to exercise their creativity to achieve the goal of automating the roster planning process.

Deliverables: Developing an automated roster planner.

Point of contact: Katherine Tan katherine_xh_tan@nni.com.sg

Project #5

Project Title: Centralised Administrator’s Residency Database (CARD)

Project Description: SingHealth Residency is Singapore’s largest training institution for junior doctors to pursue their medical careers. Residents are key to the medical workforce and contribute extensively to daily patient care. Our residency programmes are robust and competitive in delivering quality training and building competency and capacity as a skillful clinician. At Medicine Academic Clinical Programme (ACP), we are the largest ACP within SingHealth. We train the highest number of junior and senior residents across 11 residency programmes, rotated through Singapore General Hospital, Changi General Hospital and Seng Kang General Hospital. As part of maintaining accreditation standards and training compliance, Programme Administrators play an important role in managing the administrative duties of the 11 residency programmes. Proper documentation of training records such as posting and education history are essential for audit trails. Tracking of residents’ training involvements, education and research scholarly activities and accolades also play an important role in their future academic appointments. The proposed database system will aim to harmonise the tracking practices of our 11 residency programmes, enable Programme Administrators to store, update, track and retrieve resident’s information, training records and involvements and generate desired documents (such as residency exit documentation or CV) based on matching fields and export into various file formats.

Deliverables

1. Develop a database system to store residency training records, involvements, scholarly activities and accolades.

2. The database system shall include user account management function (users vs admins).

3. Enable Programme Administrators or Residents, with authorised security levels to limit read and write functions) to batch upload or individually update information.

4. Map junior and senior residency training records seamlessly.

5. Customise suitable data visualisation formats for retrieval of individual resident’s information.

6. To be able to export into various file formats CSV, XLSX, PDF.

Point of Contact: Mr Cai Guorong cai.guorong@singhealth.com.sg, Ms Suganyah K suganyah.k@singhealth.com.sg Ms Clasandra Hum clasandra.hum.j.y@singhealth.com.sg

Project #6

Project Title: Clinical Faculty Academic and Promotion Database System

Project Description: SingHealth is an Academic Medical Centre and the cornerstones of Academic Medicine rest upon Clinical Services, Education and Research. At Division of Medicine, we are the largest clinical division in Singapore General Hospital and houses the most number of doctors. As a teaching hospital, Division of Medicine is the main site for medical student postings from Duke-NUS Medical School, Lee Kong Chian Medical School and Yong Loo Lin School of Medicine and hosting of medical residency programmes. Academic activities such as improvement, innovation, education and research, are crucial in developing our clinical faculty and residents into clinician innovators, educators and scientists to advance academic medicine. In order to do so, scholarly achievements, academic promotion, appointments and grants must be tracked. The proposed database system will allow administrators to update information and must develop data visualisation function like a dashboard, able to generate documents based on matching fields and export into various file formats.

Deliverables:

1. To develop a database system of clinical faculty to store information, academic achievements, activities.

2. The database system will require user account management system with various levels of security access and rights.

3. The database system will allow administrators to batch upload, individually update information, have an audit trail of actions, and have an export function.

4. To provide data visualization function like a dashboard, and customize pivot table.

5. To be able to export into various file formats CSV, XLS, PDF.

Point of Contact: Jeslyn Tay: jeslyn.tay.y.h@sgh.com.sg, Serika Cara Navarro: serika.cara.navarro@sgh.com.sg

Project #7

Project Title: Brachy Educators: Patient Education

Project Description: Traditionally, patient briefing for brachytherapy procedure has been done verbally. We have a briefing checklist to guide us, train juniors and new colleagues before sending them out to brief patients. However, depending on various patient needs, the briefing process for each unique patient/radiation therapist can range from 10minutes to 45minutes. This timing might affect the subsequent patient’s timing and disrupt the clinical schedule for the day. The information relayed during briefing can also be overwhelming for certain patients. Radiation therapists (RTs) often found themselves repeating information that was mentioned during briefing, to patient during their procedure. Thus, we aim to find a solution that allows patient to better understand the briefing information (e.g. video-aid, visual guide etc.) simultaneously allowing RTs to dedicate the briefing time to do more clinical work and attend to more patients promptly.

Deliverables: Video aid/ Visual Guide / VR

POC: Sofia Bte Sadimin (NCCS) <sofia.sadimin@nccs.com.sg>

Project(s) proposed by Aunty SG

Title: Project Aunty SG

Brief description: Aunty is a mobile app that connects parents to trusted and reliable babysitters. Designed for busy parents, bookings can be made for the same day or up to 3 months in advance. Parents are able to search, interview sitters and pay all through the app!

Launched only in October 2021, Aunty continues to grow with a current pool of a thousand users and a network of sitters spread island-wide. Since then, Aunty has also been featured in multiple media outlets such as ExpatLiving and AsianParents.

Deliverables (Scope and details to be discussed pre/during proposal stage):

1. Analyse current User Journey and redesign UI/UX to improve conversion rate and dispute management

2. Design and build a referral feature where parents can refer sitters they have engaged before to friends

3. Extend the booking capabilities to allow longer term bookings and a more fluid transaction

4. Design and enhance promo code system

Tech Stack: React Native, PHP + Laravel, AWS

Contact Marcus Ong (hello@aunty.sg), Aunty SG Pte Ltd

Project(s) proposed by YouClass Learning Pte Ltd

Title: Online Learning System Development

YouClass Learning Center is a comprehensive education brand that provides high-quality courses for students aged 5-18.

Description and objective: Globally, over 1.2 billion children are out of the classroom due to the pandemic. As a result, education has changed dramatically, with the distinctive rise of e-learning. In response to significant demand, YouClass wants to create an online learning system that offers a better experience when our students learn online.

Expected outcome: User-friendly interface for easy access of class schedules, tracking of students’ learning progress which include looking into learning needs and students’ expectations. SMU students may also come up with a system to allow YouClass students to purchase learning packages and materials online. Additionally, students may also take mode test and create exam question banks from the system.

For further information, please contact Haiyao Chen at haiyao.chen@youclass.org

Project(s) proposed by Good Bees Pte Ltd

Project #1

Title: Deliver for good

Background: goodbees serves as a novel platform to facilitate organization to get the food sponsored for their beneficiaries.

We are the pioneer of food sponsorship marketplace in Singapore. We bridge organizations (VWOs), Beneficiaries, Sponsors & F&B Merchants in one place. With our mobile application, we’ll get your food shared or sold on demand—NO delay, NO wastage, NO hassle. It’s as simple as that. (www.goodbees.sg )

To build dynamic Delivery capability for the existing solution, For instance if the partnering merchants would want to manage their delivery, Application to support the dynamic delivery charge based on the distance , Also Partial Fulfilment - sponsoring partner able to choose the quantity of the meals they wish to sponsor, (e.g if the org need 50 chicken rice and partner able to sponsor only 20 meals then the partner to explicitly sponsor the quantity they want to, this will give partners the flexibility to sponsor based on their capacity

1. UI/UX refinement & fine tune to make the app more user friendly.

2. Few other significant feature which will add to elevation of user base.

For further information, please contact Ansari at contact@goodbeesconsulting.com

Project(s) proposed by Stemly

Project #1

Project Name: Autonomous Cash Flow Management for businesses

Problem: Estimated more than 100,000 business in Singapore alone, and close to 110 million business globally suffer from the inability to predict cash flow in a timely manner.

Stemly has access to financial data coming from supply chain operations in the context of demand planning, inventory optimisation, spare parts forecasting, and similar. The objectives of the project are to identify what are the most accurate and most generic data science approaches to predict the likelihood of an invoice to be paid on time and in full. The student should leverage the groundwork done by Stemly and augment it with novel approaches in the area of Survival Analysis, Deep Learning, probabilistic networks.

Opportunity: Students will have the opportunity to work in a data science product context, collaborate with ML engineers and data scientists to identify the right methodology, framework, and algorithms. The expected deliverables are:

1. A detailed literature research of the current state of the art and what are the novel approach published

2. An experiment design document and the experiment report document to describe the scope and the results of the experiments.

3. A working prototype of the solution that can be used to validate the functionality and usability of the solution to customers.

Skills: student should possess the following set of skills: python in particular: pandas, numpy, scikit learn, mathplotlib, seaborn, streamlit / dash. Or any other library that might be relevant to address the problem. Familiarity with collaboration tools such as Jira/ Confluence a nice to have.

Equipment & Tools: students will be required to use their personal laptop.

For more information, please contact Kendrick Loh at kendrick.loh@stemly.ai

Project #2

Project Name: Enhanced Replenishment Planning

Problem: Replenishment Planning is cited as the central problem in the area of supply chain management. It involves two important determinants: The lot sizing decision or the determination of the quantities to order, and the determination of replenishment dates (or schedule).

Stemly has access to direct customer data coming from supply chain operations in the context of demand planning, inventory optimisation, spare parts forecasting, and similar. The objectives of the project are to identify what machine learning based approaches for inventory optimisation. The student should leverage the groundwork done by Stemly and augment it with novel approaches in the area of Reinforcement Learning, Deep Learning, Probabilistic networks.

Opportunity: Students will have the opportunity to work in a data and data science product context, collaborate with ML engineers and data scientists to identify the right methodology, framework and algorithms. The expected deliverables are:

1. A detailed literature research of the current state of the art and what are the novel approach published

2. An experiment design document and the experiment report document to describe the scope and the results of the experiments.

3. Study comparison between proposed new solution versus old solution, highlighting the benefits and expected outcomes

4. A working prototype of the upgraded solution that can be used to validate the functionality and usability of the solution to customers.

Skills: student should possess the following set of skills: python in particular: pandas, numpy, scikit learn, mathplotlib, seaborn, streamlit / dash. Or any other library that might be relevant to address the problem. Familiarity with collaboration tools such as Jira/ Confluence a nice to have.

Equipment & Tools: students will be required to use their personal laptop.

For more information, please contact Kendrick Loh at kendrick.loh@stemly.ai

Project(s) proposed by Aboitiz Data Innovation

Project #1

Satellite image analytics for real estate value prediction in the Philippine context

Description and objective: The Philippines is currently one of Asia’s fastest growing economies with an aggressive and competitive real estate industry. Despite the pandemic, nationwide residential property prices grew by 27% in Q2 2020 (highest growth rate since Q1 2016). The 20-30-year-old market segment (millennials) has doubled during the pandemic. Health, safety and security are the priorities of property seekers. This project shall explore the use of satellite image analytics for real estate value prediction regarding health, safety or security in the Philippine context. Analytics of one feature are demonstrated in a prototype and results presented.

Deliverables:

1. Literature overview of satellite analytics that are valuable for the real estate industry regarding health, safety and security in the Philippine context

2. Overview of satellite image datasets for real estate use cases

3. Proposed AI features that will greatly support the property seekers and real estate brokers

4. Selection and implementation of one AI feature with publicly available data of the Philippines, performance evaluation conducted (performance evaluation can be done with data from another country but application of the designed model shall include the Philippines)

5. Web application and/or mobile app that demonstrates one selected high value feature

Project #2

Satellite image analytics for farming related decisions in the Philippine context

Description and objective: The Philippines is currently one of Asia’s fastest growing economies. The Philippine agriculture and fisheries sector accounts for approximately 25% of the country’s work force and is one of the few trades available for many Filipinos living in remote regions. The objective of this project is to give an overview of the use of satellite image analytics to enhance farming related decisions. Analytics of one feature are demonstrated in a prototype and results presented.

Deliverables:

1. Challenges of farmers in the Philippines who are potentially early adopters of new technologies that can improve their business value

2. Literature overview of satellite analytics that are valuable for the Philippine context

3. Overview of satellite image datasets

4. Proposed AI features that will greatly support farmers in rural areas

5. Selection and implementation of one AI feature with publicly available data of the Philippines, performance evaluation conducted

6. Web application and/or mobile app that demonstrates one selected high value feature

Project #3

Satellite image analytics for fishing related decisions in the Philippine context

Description and objective: The Philippines is currently one of Asia’s fastest growing economies. The Philippine agriculture and fisheries sector accounts for approximately 25% of the country’s work force and is one of the few trades available for many Filipinos living in remote regions. The objective of this project is to give an overview of the use of satellite image analytics to enhance fishing related decisions. Analytics of one feature are demonstrated in a prototype and results presented.

Deliverables:

1. Challenges of fisheries/fishermen in the Philippines who are potentially early adopters of new technologies that can improve their business value

2. Literature overview of satellite analytics that are valuable for the Philippine context

3. Overview of satellite image datasets

4. Proposed AI features that will greatly support fisheries in rural areas

5. Selection and implementation of one AI feature with publicly available data of the Philippines, performance evaluation conducted

6. Web application and/or mobile app that demonstrates one selected high value feature

Project #4

Estimation and visualization of insights combining health behavior (Apple HealthKit, Google Fit) and financial behavior data

Description and objective: Read Apple and Google Fit Health data to give health statistics next to financial insights (e.g. 10000 steps walked on a shopping day when spending XXX PHP).

Deliverables:

1. Literature overview of approaches combining health and financial behavior analytics and corresponding visualizations

2. Overview of datasets with financial (e.g. banking) and health (outcome) data, e.g. step counts, energy expenditure, heart rate, personal health records (PHR)

3. Proposed features that provide insights into a person’s health and financial development/behavior/interaction that can be computed with Apple HealthKit or Google Fit data and typical banking data

4. Results and performance evaluation shown with a publicly available dataset

5. Prototype (e.g. mobile app) reading in Apple HealthKit and Google Fit data, computing and visualizing powerful insights in the financial-health space by combining health and financial data

Project #5

Skin AI for medical cost and insurance propositions

Description and objective: There have been multiple AI advances for skin analytics (e.g. “Dermatology assist tool” by Google) in the past decade. The objective of this project is to identify a business model using a successful skin AI feature that will benefit the patient, insurance, clinician and potentially a bank. The proposed business model shall differentiates itself from existing business models and is ideally valuable for bank customers.

Deliverables:

1. Literature overview of AI technology landscape for skin condition analytics

2. Literature overview of existing business models addressing skin analytics and involving insurance partners, bank partners and clinicians

3. Current customer journey with pain points

4. Proposal of business model highlighting the benefits for each party, reason to believe, differentiator to existing business models and money flow

5. Future customer journey

6. App prototype demonstrating the entire customer journey including

a. one AI feature for skin analytics

b. benefit for customer / patient

c. benefit for clinician

d. benefit for insurance

For more information on any of the above projects, please contact Adrienne Heinrich <adrienne.heinrich@aboitiz.com>.

Project(s) proposed by Straits Estate

Project #1

Straits Estate Project

Project Description: Straits Estate is a multi-sided property listing platform that designed for post pandemic world. The COVID-19 has been impacted on the consumer behaviour and business process including real estate sector.

Objective: The project will build web solution and mobile app that enable improved and digitalised customers experience in properties searching, viewing, transactions and renovation. The solution also need to develop customised features on APIs from tech partners.

Expected outcome: The Web solution and mobile app should be at advanced prototype stage, nearly ready (if not ready) for commercial use. Career opportunities are available for the project team members.

For more information, please contact Li at hello@straitsestate.com

Project(s) proposed by Singapore Exchange Limited

AIOps using Internal Bot Platform

Description

To support the growth of Bots in SGX Intelligent IT Operations Journey, we have conceptualized an “Internal Bot Engine Platform” that will be implemented with a set of common re-usable AWS micro services for the Bot interaction. Developers who on-board Bots onto the platform only need to focus on the Bot logic. On-boarded Bots can also interact between themselves. For example, the health check results returned by a Bot can be passed over to another Bot that interacts with the incident ticketing system to open/close an incident ticket.

For the project, we are looking at expanding the “Internal Bot Platform” to implement “Builder Bot” (aka BBot) to manage the lifecycle of all bots built and deployed in SGX. Developers will build the bot, and they are known as “Citizen Builders”. The BBot will perform the following functionalities (but NOT limited to):

(i) Create and Enrolls Webex Bot into SGX Bot Inventory

(ii) Enforce access key expiry and notify bot owners accordingly

(iii) Maintain SGX Bot Service Directory and Bot Metadata

(iv) Provides code templates, help and lifecycle guidance for Citizen Builders

(v) Manage the upload and versioning of “Bot Handlers” (e.g. creating the python based biz logics into lambda functions)

(vi) Provide Bot operational reporting, e.g. usage, cost metrics etc.

(vii) Manage the QA and production dependency, change approval

(viii) Automate the Bot Release Readiness process

(ix) Handles upload and execution of automated test scripts (in the form of input event and expected output event)

The “Internal Bot Platform” will also have an automated self-check for on-boarded Bots to facilitate production level 2 support, ticket management and escalation.

Learning Opportunities

In the project, the students will learn about AWS technology, chatbot technology, AI and automation. Access to AWS online learning platform will also be provided upon request.

Technical Requirements

The students should have basic AWS knowledge (preferred) and proficient in Python, Java or Node.js. They will provision their own AWS account for development. For integration and testing, the students will be provided the SGX AWS development account.

Contact Helen Lim (helen.lim@sgx.com), Singapore Exchange Limited.

Project(s) proposed by Usertip

Project 1 - Product Manager Analytics

Brief Description: Companies need analytics on the usage of software in order to streamline software development and customer experience on their systems. Our company would like to prototype an analytics tracking and related web application that enables users to view detailed analytics of website usage and generate related reports. Analytics will extend beyond the range of information such as that available on existing solutions like Google Analytics and is designed to support product managers in change management for software.

Deliverables: Develop tracking tools that will enable tracking of usage data on websites. Develop a web application for reviewing data tracked via a dashboard and for report generation.

For further info, please contact Marc Chia @marc@usertip.com.

Project 2 - Automated Learning Material Generator and Web Browser Editor

Brief Description: Our company allows users to create in-application guidance for web applications. Such guidance takes place on a step-by-step basis. Our customers would like the ability to convert this in-app guidance into off-site training materials (e.g. pdf, videos, faqs etc.) so that there is a single source of truth for learning material across all information sources.

Deliverables: A web application that converts walkthroughs on our existing system into off-site training materials that can be accessed by users. These may include a web browser-based editor for training materials.

For further info, please contact Marc Chia @marc@usertip.com.

Project 3 - No-Code In-Application Guidance Tool For Mobile Applications

Brief Description: We already have a no-code platform enabling the building of in-application guidance for other web applications. We are interested in developing similar capabilities for the mobile ecosystem.

Deliverables: Perform research into how to implement such a solution for the mobile environment. Through rapid prototyping create an application and any related SDKs which would enable such a solution to function for applications in the mobile environment.

For further info, please contact Marc Chia @marc@usertip.com.

Project(s) proposed by Standard Chartered

1. Onsite personalization to maximize the digital engagement

The Digital use case is divided into two parts:

1) Journey evaluation : Study how users traverse the StanC website, understand the broken journeys, their option selection preferences, etc - by different segments, countries and products

a. Prepare an analysis which talks about how different users navigate on our website (major routes they take to reach their goals), what are the options they show more interest in, how many have journey breakages and why, etc

b. Propose recommendations to improve/smoothen the site navigation and prevent drop offs

c. How the above two vary by different user segments, their location, etc

2) Personalization : Predict the likelihood of a product transaction (eg cash payment, trade transaction, etc) at each step/page of the journey from the time a user lands on the website and recommend the next best click/clicks at that step (which can be shown as a pop up or a CTA) to optimize the conversions. - This would require participants to use the clustering techniques for customer segmentation and Machine Learning / Statistical modelling for predictive analysis

Data that will be provided : Google Analytics data from StanC’s Digital platforms (Web, Mobile, etc)

For further information, please contact Rahul Gupta (Rahul.gupta5@sc.com).

Project(s) proposed by Learn 2 Play Music Academy

1. Music Learning App.

Project Description: As technology advances, it also changes the way students learn. In the midst of a covid-19 pandemic, Learn 2 Play Music Academy is exploring effective online music learning tools to better engage our students.

Core Deliverables: A cross-platform app Android and iOS/iPadOS Platforms. Students may also propose IT solutions that will engage the music students in learning more effectively.

For further information, please contact Angeline @ learn2playmusicsg@gmail.com

Project(s) proposed by Band Directors’ Association Singapore

1. Reimaging music education

Brief Description - Music educators to rethink how to deliver virtual learning experiences with activities that continue to make the music lessons engaging despite the technical nature and motivate the students in the absence of face-to-face experience due to the COVID-19 pandemic.

Objective – Achieve an effective and fun learning virtual experience for students and empower educators with tools in content creation to ease their preparation process.

Expected outcome – A digital transformation strategy that gamifies the entire learning process and allows educators to track the learning progress of students which include looking into learning needs and students’ expectations, and integrate local and overseas best practices. Students may also come up with a system to allow educators to develop their own games and learning materials vis-à-vis the students’ levels and needs. For more information, please contact ADRIAN CHIANG <president@bdas.org.sg>

Project(s) proposed by UBS AG

1. Secure coding gamification

In a world of where very public and very devastating hacks and data breaches are rapidly on the rise, increased software developer awareness of secure coding best practices is crucial to any business' success. Students will create a web game for development teams. Development teams will be able to point the game at a code repository of interest. The game will ingest that code and run best of breed open source security static code analysis tools against the repository. From there, a custom game instance will be created that presents development team with features such as: coding challenges, recorded responses, ratings, top scores, and overall analytics on the security of the repository.

For further information on any of the above projects, please contact Viramontes, Victor <victor.viramontes@ubs.com>.