Proposed projects

Instructions on sponsor engagement

The information has been updated in March 2023. As many teams may be approaching sponsors, sponsors will discuss with the various teams and decide which team to work with. If your team has already confirmed a project with a sponsor, please let the faculty manager know so that we can update the website for other students.

For self sourced sponsors

Teams are encouraged to source sponsors from internships, SMU-X modules and personal contacts. The deck here can be shared with the sponsors to clarify any roles and responsibilities with them and request them to contact the faculty manager at kiruthikar@smu.edu.sg for any clarifications File:Sponsor information deck.pptx

Projects

<!=== 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).-->

For more information, please contact Sky @ sky.lim@zhongguoremittance.com -->

Project(s) proposed by UBS AG

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 Kumar, Ajith A <ajith-a.kumar@ubs.com>.

Network/Linked Data Visualization

As the datasets we work with become larger and more interconnections are represented, we need better ways to visualize our data for decision making. The project we would like to propose is to work specifically on the visualization of network/liked datasets. Many options have been proposed in research and many products exist. We would first explore what is out there from academia and commercially, then narrow down to a few models for your group to build using open source tools as a basis. The goal would be to produce reusable 2D/3D visualization components that can be readily and easily integrated into modern web-based (HTML5, SVG, or Canvas, etc.) applications.

For further information on any of the above projects, please contact Kumar, Ajith A <ajith-a.kumar@ubs.com>.

Singapore/APAC Cyber Threat Intelligence Feed

Today many organizations utilize STIX/TAXII cyber intelligence feeds to quickly ingest and increase situational awareness of the latest cyber threats. The project we would like to propose is one to create a specialized and open source feed to produce threat intelligence relevant to industry in Singapore and the APAC region. You would work with our Cyber Security subject matter experts for guidance in what cyber concerns are most relevant today and how best to capture and represent them in a way consumable by business. The goal would be to produce a feed from data mining public sources that can easily integrated into threat intelligence platforms.

For further information on any of the above projects, please contact Kumar, Ajith A <ajith-a.kumar@ubs.com>.

Project(s) proposed by the Urban Redevelopment Authority (URA)

The following projects are particularly well-suited to the IS485 (Industry Research) option.

Project #1: Walkability in Singapore

• Project Description/Goals: In order to support Singapore's car-lite vision and enhance our city's liveability, URA is exploring the use of technology and data to better inform accessibility on the ground and identifying potential gaps to make data-informed planning.
• Learning Opportunities: Spatial analytics such as network analysis
• Deliverables: Explore / Develop methodology
  • Assess accessibility and walkability of areas
  • Identify potential accessibility gaps such as barrier-free access for people with disabilities
• Point of contact: Wang Songyu (wang_songyu@ura.gov.sg); Muhammad Syafi'e Bin Sa'at (Muhammad_Syafie_SAAT@ura.gov.sg)

Project #2: Amenities / Land use Planning in Singapore

• Project Description/Goals: With limited land in Singapore, URA is exploring new evidence-based methods and tools to create robust plans that offer greater optionality in face of future challenges to support planning.
• Learning Opportunities:
  • Optimization modelling
  • Spatial analytics
• Deliverables: Explore / Develop various optimization techniques
• Point of contact: Wang Songyu (wang_songyu@ura.gov.sg); Teo Yang Rui (teo_yang_rui@ura.gov.sg)

Projects proposed by GIC Private Limited

Brief Description of the Organisation: Established in 1981 to manage Singapore's foreign reserves, we strive to achieve good long-term real returns on assets under our management to preserve and enhance the value of Singapore's reserves. We have investments in over 40 countries and are headquartered in Singapore, with 10 offices in key financial cities worldwide.

Project #1: Gnosis - Using natural language to perform data analysis

Introduction and brief description of the current situation Being a data-driven organisation, there are huge volume, velocity and variety of data consumed on daily basis if not in real-time. To support data needs, the organisation has to build and maintain significant mid-tier data infrastructure such as data models and reporting tools.

Despite the resources deployed to service today’s need, there is an also consideration for future-needs as the organisation grows. Traditional method of managing mid-tier data infrastructure may not be scalable and may slow business progress. There is a need to bring data closer to the people who needs it in a more agile manner.

With "Google" style of performing data query and to be able to extract across various data databases, individuals will be able to perform deep-dive analysis without the need to build dashboards or datamodels. This reduces waiting dependency of other technology teams, and also reduces cost effort in maintaining reporting capabilities. E.g, Typing “What is the 5 year average return of Apple stock?” will return “300%”.

Objective of the project A working prototype using MS Teams chatbot function against some of the commonly used databases within the organisation. The working prototype should be able to translate simple natural language into various SQL statement for querying against these databases, and to be able to return an answer, a chart or a table. Accuracy of results will be measured for the working prototype. However, it is also expected the model shall self-learn based on the results returned is what the user is requesting for. Hence, over a period of time, the model will not only be more accurate, and also be able to recommend what are the next set of questions that are commonly queried.

Contact: Chua En Hao, Senior Vice President chuaenhao@gic.com.sg

Projects proposed by BoundbyWine (Boundby Pte Ltd)

Project 1: WiningRecs

BoundbyWine is a wine merchant in Singapore, which focuses on providing customers with a personalised journey of wine exploration. The brand currently does this in a variety of manners - in-person recommendations & wine tastings, wine subscription services, as well as self serve digital wine quizzes.

However, the 2 core challenges of BoundbyWine's current operations is that it relies very heavily on the founders to provide recommendations, and does not offer a integrated self-serve experience across multiple touchpoints

The purpose of this project is to 1. build a better experience of self serve digital wine quizzes - it is currently catered towards new customers, and does not adequately service existing customers as it does not take into account their previous purchases 2. provide a better integration of these different services through a central feedback loop & customer dashboard that provides insights & recommendations

Project overview The overarching vision of the project is to build a product recommendation engine for products that have a high factor of personalisation - products like wine, spirits, perfumes, vitamins. These products require personalisation & curation based on difference customer preferences, and product attributes, to give the customer confidence in their purchases

As a project, the goal would be to build a recommendation engine that is able to provide personalised recommendations of wines, based on a customer's preferences - these preferences can come in the form of a quiz or other inputs for new customers, and should rely on customer purchase history & reviews for existing customers.

Expected deliverables :

1. A custom app that is able to be integrated into BoundbyWine's Shopify website via a custom app / plugin - this includes a customer dashboard 2. A robust recommendation engine that is scalable across different product mediums - it may not need to be able to do so immediately, but the implemented architecture is designed with this in mind 3. The engine need not rely on external datafeeds as a deliverable of this project

Contact: Elliot Braet, elliot.braet@boundby.group

Project 2: Content Creation
The tool is targetted primarily at ecommerce businesses to help reduce the need for marketers & content writers to research & create digital content. The goal is to increase the speed of & accuracy of our online educational content, including product listings, wine guide articles

• Product Listings - Product descriptions are the main way to convince customers why they should purchase a product, so why not have a good one!
• Blog Posts - Blog posts are an essential tool to provide education to customers, as well as promote the SEO ranking of the ecommerce website. The trouble is that they are time consuming to write, or it can get expensive to hire content writers in volume

Deliverables:

• Create a custom Shopify app that integrates language models such as ChatGPT into Shopify, to act as a virtual assistant to create product listings & blog articles
• Create a system to fine tune language models based on a set of approved data
• Create a process of verifying existing content & propose recommendations to optimise the content, for accuracy, attractiveness, and SEO-ranking

Contact: Elliot Braet
Email: elliot.braet@boundby.group


Project 3: Price & Vintage Comparison
The overarching goal of this solution is to build a business tool for the purpose of keeping product listings competitive & up to date.
The core objectives of the product are to

• Inform merchants of current selling prices & specifications of products from a list of competitors
• Inform merchants of current selling prices & specifications of products from a list of suppliers
• Allow a merchant to set automated rules based on the events
• Be integrated within major e-commerce frameworks, such as Shopify, BigCommerce, WooCommerce

Deliverables:

• A Shopify integrated application that addresses the core objectives mentioned
• The application should be able to be managed by a non-technical person, and can be applied to other Shopify stores easily

Contact: Elliot Braet
Email: elliot.braet@boundby.group

Projects proposed by Singapore Civil Defence Force (SCDF)

Project #1: PARAMEDIC CERTIFICATION TEST PERFORMANCE EVALUATION & TRACKING II [This project has been taken for AY23/24 Term 1]

Project Details File:SCDF Proposal.docx

1 | CLIENT PARTNER PROFILE The Singapore Civil Defence Force (SCDF) is the national emergency medical services (EMS) organization in Singapore, which currently consists of a fleet of 90 ambulances and responds to more than 210,000 calls to the national emergency “995” hotline annually. As an EMS organization, SCDF also looks into the training and continuous upskilling of frontline paramedics to ensure optimal care delivery and outcomes.

2 | BACKGROUND OF PROJECT Every paramedic in SCDF must complete various surveys and assessments on a regular basis as a competency assurance mechanism. Prior, there is no system in place to track a paramedic’s performance during the qualification training, and subsequently during certification and re-certification. We worked with some of your fellow students in SMU in early 2022 to develop a prototype of an electronic system which allows more efficient tracking and analysis of performance and empower change in teaching methodology and self-directed learning. The developed prototype allowed us to:

• systematically tag question to various parameters of interest,
• enable rapid generation of test papers using a set of parameters for purposes of self-directed learning and testing, and
• provide instantaneous feedback to the paramedics during practice.

3 | OBJECTIVES OF PROJECT We are keen to work with your team to further develop this prototype to a minimally viable product, with a focus on: PRIMARY OBJECTIVES

• Generation of simple performance statistics in the form of a dashboard and test reports
• Refining of the testing functions of the prototype

SECONDARY OBJECTIVE

• Introduction of simple security features to the prototype

We are open to discussion and would be happy to hear your suggestions on further improving the current prototype.

Contact: LTA (Dr) Nicholas Yoon, Nicholas_Yoon@scdf.gov.sg, COL (Dr) Colin Tan, Colin_TAN@scdf.gov.sg

Project(s) proposed by EnterpriseSG

Project #1: Payment methods for heartland enterprises Background

Heartland Enterprises (HEs) are business entities operating under HDB flats in towns and neighbourhood centres across Singapore. In alignment with the national drive to digitalize payments to ensure a seamless and coherent payment experience for consumer, EnterpriseSG has been working with different stakeholders and payment providers to accelerate and support the adoption of e-payment solutions by HEs. As a non-partisan enabler, EnterpriseSG does not prescribe a specific solution but encourages enterprises to adopt at least one e-payment solution. Since there are a number of dominant players in the payments industry with sizeable consumer bases, HEs are also motivated to adopt more than 1 solution to provide their consumers with the privilege of choice As of May 2022, more than 80% of HEs have adopted at least one e-payment solution with 31% adopting more than one solution.

While moving from pen and paper to digital payment method had alleviate some of their manual reconciliation process, providing more than one solution presented another issue. As the programme and push for e-payment solution matures, HEs face the issue of having to reconcile daily statements received from multiple payment solutions and systems. Through engagements with stakeholders such as IMDA, feedback directly from HEs gathered from Digital Ambassadors and Business Advisors, or direct company engagements, we have gathered that some HEs that have adopted multiple e-payment solutions do struggle with the reconciliation process.

Existing Solutions

There are existing e-payment solutions that aggregate a set of e-payment partner. Therefore, any transactions paid through the system will be recorded in 1 consolidated statement at the end of the day. For example, SGQR that is currently managed by NETS for Hawker’s Go Digital, or Simply NETS which is a terminal solution integrating a few payment options, and finally POS solutions which integrates payments as part of its function. However, merchants will be restricted to the set of payment options that are available on their systems.

If a merchant adopts solutions that are not part of the option available, they could request for POS vendors to integrate the e-payment solutions which is charged per integration at about $300. This allows merchants to accept payment through their existing POS and terminal. Stripe or Hitpay also provides such integration and does not charge for set-up but adds a premium to the MDR at 3% for GrabPay integration.

However, integration of payments in one POS only simplifies the reconciliation at the shop level. Based on different business models, solution providers might not partner POS solutions but would still charge merchants directly. For instance, a payment provider might charge a POS solution provider for the API integration but still charge the MDR directly to the merchants rather than only charging the POS solution provider which allows all payments to be integrated and be reconciled by the POS solution provider. Therefore, merchants will still receive more than 1 invoice at the end of the month and this requires more time for accountants to reconcile any errors. A model where merchants only interface with 1 aggregator is much like NETS’s role as the acquirer for Hawker’s Go Digital where all payments go through NETS rather than individual e-payment providers. While merchants with large enough operations and transactions could justify an expenditure on an integrated ERP: 1. Merchants onboard POS solutions and subsequently request for integration might still not be able to fully automate and centralize their backend reconciliation. 2. Merchants that are smaller with only 1-2 outlets but accepting multiple e-payment solutions will still need to have to deal with multiple invoices during backend reconciliation.

Productivity improvements

Currently, enterprises have to conduct end of day settlements at the shop level and backend reconciliation by the accountant or finance department. At the shop level, sales executives will usually generate the day’s sales report from their POS and match the total figure with amounts from the different terminals and the cash remaining in the POS. If there are any discrepancies, shop managers will usually flag these errors to their finance departments. Outlet closing usually takes about 15 mins every day for each outlet.

Larger merchants with a finance department will conduct daily reconciliation by comparing POS sales reports and their bank statements or e-payment statements received from their vendors. The finance department will ensure that the correct amount is being paid by each payment solution provider and that this tallies with the sales report as well. Finance departments will usually have an excel sheet with formulas to convert the gross sales amounts into nett amounts after the deduction of MDRs. Should there be any discrepancies, finance department will download the respective e-payment statement (e.g. NETS MConnect, Credit card statements upon request, or DBS Max for PayNow payments) and try to identify this amount line-by-line. An example of a discrepancies as listed below: 1. When there are surpluses in cash, this could mean that payments were made in cash but not logged into the POS as cash. Payment might have been wrongly tagged as an e-payment. 2. When there is a deficit in cash, a possible scenario could be a wrong entry of amount e.g. receiving $23 but entered as $33. 3. E-payments could also be wrongly tagged which leads to discrepancies because of differences in MDR charges.

Settlement is completed as long as the nett amount tallies with bank statement after deducting charges. If there are no issues, this process would usually take about 30mins daily. Discrepancies usually happens when there is cash that is unaccounted for in the cash register. This usually happens because the payment mode is not linked to the POS and cashiers have to key the amount and payment mode manually. When there are discrepancies, backend settlement can be extended to 1-2 hours.

For a shop that has 4 outlets and 5 e-payment solutions, this would mean 20 lines of payments in the company’s financial statements.

Scope of project

An automation of this settlement process could involve a. Interviews with merchants to understand the operational process of backend settlement. b. Automation of nett sales amount calculations and comparisons with respective payments within bank statement or relevant e-payment statements. c. Automation of discrepancy flagging and identification of erroneous line payment d. Automation of reconciliation e.g. prediction of correct entry from erroneous line payment such that total amounts tally e. Basic analytics of the sales report e.g. trend of sales, most popular and least popular SKU,

Considerations and technical details

1. Solutions should be scalable as much as possible and be easily adaptable to different merchants. 2. Merchants mention that statements are usually received in excel format. 3. A minor consideration mentioned by merchants is that sometimes, discrepancies happen because of rounding issues e.g. difference of a few cents.

Contact: Alvin Soh, Linus Ang (alvin_soh@enterprisesg.gov.sg; Linus_ang@enterprisesg.gov.sg)

Project(s) proposed by Property Guru

Project #1: CRE Insights

We are currently looking to build a database of Commercial Real Estate in the region (SG, MY, VN, TH, ID) with SG & MY being the priority. To enable this, we are exploring efficient, scalable ways to populate this dataset and keep it up to date. This calls for creative ways to obtain attribute data associated to the commercial properties, as well as potential engineering skills to implement those creative solutions.

The challenges we are facing are time and creativity. With regards to the creativity; and issue is for example when direct data is not available in a scalable matter, we will need to look for what scalable proxies are available that we can use to establish the same insights, and how we can implement them.

The deliverable is a dataset that is (as much as possible) automatically kept up to date.

It would require either standalone or a combination of data analytics/ data engineering / geospatial analysis/ operations automation. As part of this project, we would look to build one database for MY and SG commercial properties.

There are three key components:
1. Establish a database list of all commercial properties in Malaysia and Singapore (classified into categories; e.g. retail, industrial, etc.)
2. Enrich the list of commercial properties with attributes (see examples below)
o Part of this data will come from PropertyGuru, part of it will have to be obtained from public sources
o Key to success how to collect it in a scalable manner, and automatically keep it up to date
3. Create a GIS layer that holds polygons for these commercial properties


Subject to the skills of the teams, we can include/ exclude the steps above, but the main item we would like the teams to work on is item 2. A selection of envisioned attributes:
- Lot/ building ownership data (PG has transaction history available)
- Transaction history (PG has transaction history available)
- Building/ lot info
o Size
o Floors
o Land size
o Function (mall/ hotel/ office/ residential/ condominium)
o Materials used for construction
o Floorplans (e.g. from Mall website/ construction plans)
o Owner
o Ultimate owner
o Contact details of owner
o Tenants/ companies in directory
o Representation (incl. contact details)
o Lease dates
o Architect
o Developer

Projects proposed by School of Computing and Information Systems, SMU

Project 1: SCIS Upskilling Engagement System
As part of the holistic learning journey and to prepare students from SCIS and also the rest of the SMU student community, SCIS would like to provide Certification Classes, Prep Classes for upcoming terms, Introduction Workshops, Seminars and Industry/Career Talks.
This platform aim at bridging the interest of students in a certain topics with Instructors, Alumni and also industry partners to have the workshops or classes. The system should cater for proposal of classes from either the Students or Trainers, Registration for the classes, Maintenance of Classes details, Attendance Tracking, and notification to users of the system of new classes or updates.
The system will be used by both students and trainers.
We have run 2 iteration of the concept to verify on the flow and requirement.
Deliverables:
To Propose and ideate an engagement model to attract and increase the usage of the system
Design and Build a Working Prototype with the required functions above
Email: Joseph Sung (josephsung@smu.edu.sg)

Project 2: Career Skill Mapping Tool
With the rise of Skills based learning and Job recruitment, we would like to provide a platform for students and learners to explore on the courses to attend or take to acquire the skills require for a certain role.
The system will allow the learners to list out the courses, he/she have taken as a baseline of skills possessed. The system will then allow the learners to explore the description of the roles and the skills required. At this point, the user would have been able to identified the gap in the skills set. He/She would then be able to look at the type of courses offered by SCIS curriculum or Enrichment programme. They can also choose to track the options selected as a Learning Journey.
Learners should also be able to include new courses they have taken to increase their skill set.
Additional function is to be able to generate a list of skills either as a list of paragraph form to be included as part of the CV. (May be some form of research to form a more natural language way of presenting the output)
We have identified the pilot group of users and course offering to be the students of SCIS and Courses offered in SCIS.
The initial mapping of courses to skills and roles have been completed.
Deliverables: Propose and Develop a working prototype that can be deployed to the pilot group of users to collect initial feedback.
Email: Joseph Sung (josephsung@smu.edu.sg)

Projects proposed by Wyn Monde Pte Ltd

Project 1: Usability Analysis of Movement Analysis Software
Wyn Monde’s uses mainly technology from Contemplas GmbH (www.contemplas.com). The platform performs video capture and analysis on machine vision cameras and sensors to analyse human movement qualitatively and quantitatively. The platform allows manual analysis of movement and also utilises a markerless tracking algorithms to identify and track specific body landmarks. Although the platform’s functionalities are managing the data capture and analysis very well, users felt that the Graphical User Interface (GUI) is not “intuitive” thereby takes a longer time to learn and not fully able to exploit all the functionalities. The project team is to i) review the GUI design of this platform and assess its usability with qualitative and quantitative methods and ii) to propose a new GUI design that with quantifiable benefits and improvements.

Expected deliverables:
Qualitative Analysis. Use existing GUI design standards i.e. Nielsens, Microsoft to identify areas in which the current GUI are strong / weak in terms of usability. Potential weakness could be i) difficulty in accessing software functionality and ii) making frequent unintended mistakes to perform a task. The analysis should provide a matrics accompanied by recommendations for design improvements.
Quantitative Analysis. Develop a GUI evaluation methodology with users who are new to the platform and to measure the usability performance of the current GUI. The method should take into consideration i) the user’s ability to navigate in a totally new software, ii) native language and iii) age.
GUI Re-Design. Using the data points and learnings from the qualitative and quantitative analysis, the team is to propose a new structure for the GUI to reduce user errors and improve time to task completion.

This project is suitable for IS485 (IS Project Experience, Industry sponsored Research)

Contact: Davy Lim (davylim@wynmonde.com)

Projects proposed by Kinobi

Project 1: Resume Parser AI Evolution

Kinobi provides campus management systems to universities.One of our core products is career management features. As a part of a campus management system, the objective is to help students prepare for their dream job. One of the features from career management is the resume builder.
In this module, student create their resume in pre-defined format so no need to re-format, the objective is to save students' time while creating a professional resume. Currently students usually already have a resume, and they wish to import their resumes into our platform. We already have the feature to allow import the PDF but not not at its ideal state (the mapping is not matched, data not detected, etc, hopefully in this project can help Kinobi to improve the function.
Deliverables:
Create a resume parser through the use of AI, regular expression or a sweet mix of both. This parser has to accommodate for a realistic spectrum of resume document type & copywriting
Example #1: Different Resume Document Types

• Student A may use a Canvas generated resume, which is in an image format.
• Student B may use a PDF but the words are not well structured

Example #2: Different Copywriting across different sections of a resume

• To describe their working experiences, Student A uses Work Experience
  
• Student B uses Experience
  

Example #3: Different styles of a resume

• Student A uses 3 columns to segment their resumes
  
• Student B uses 2 columns
  

System is able to identify email, company name, date, country, etc
The resume parser can mapping the data to the right object (to our fields of resume) after uploaded into the platform
You can see all the fields of resume builder here https://app.kinobi.asia/resume
The solution needs as little maintenance as possible.
Ideally: the solution can self learn from its own set of data. Eg. In University A, there are 10,000 students. The more students upload their resumes, the more sample data the system can use as sample data. You have to consider how Kinobi/System itself can classify & train the data (Consider supervised training).

Project proposed by Willowmore

Willowmore is a leading Smart Access, IoT and Analytics company based in Singapore.

Example projects include:

Project #1: Centralised Integrated Facilities Management System

• Project Description/Goals: We will involve students in cutting edge development of a CIMS that will become an integral part of FM companies' operating systems. We are looking at aggregating services and data to enable automation and for FM companies to perform command and control operations from their operations center.
• Learning Opportunities: There will be opportunities for students to be involved in integration with various FM systems, using IoT solutions to enable sensing, using robotics to enable command and control - these scope will be subject to the buy-in from the end customers. Students will have the opportunity to pitch some of the ideas to our customers.
• Deliverables: To be defined together with the student team during initial discussions.
• Point of contact: Joseph Tey (joseph.tey@willowmore.com.sg)

Project #2: AI Powered Modules for WMSenseHub

• Project Description/Goals: Students will identify a pain point and use the latest development methods to code, train and tune AI engines that solve real world problems. This might be fall detection, obstruction detection, abnormal activity detection and AI Powered Dashboard.
• Learning Opportunities: Students will be challenged to dream big and we will guide them to leverage technologies to implement clever AI solutions to real world problems. They will work together with experienced AI engineers.
• Deliverables: To be defined together with the student team during initial discussions.
• Point of contact: Joseph Tey (joseph.tey@willowmore.com.sg)

Project #3: Cyber Security

• Project Description/Goals: Cyber security is critical to everything that we do. We are looking at getting students to understand the continuous process of VA and PT as part of the software development process.
• Learning Opportunities: Students will have hands on experience of performing Vulnerability assessments and Penetration testing using professional software solutions that they will be using. They will also learn about how these gaps can be fixed to ensure a robust cyber security approach to software development.
• Deliverables: To be defined together with the student team during initial discussions.
• Point of contact: Joseph Tey (joseph.tey@willowmore.com.sg)