Proposed projects

Project(s) proposed by Go Lyfe Pte Ltd

Project #1

Bridging the gap between entertainment and e-commerce

Shopping behaviour has evolved drastically during the Covid-19 pandemic. Physical shopping is disrupted by the pandemic and increasingly more people are turning to online shopping platforms. GoLyfe, a new startup, is an up and coming live-commerce application that aims to revolutionise the online shopping experience. GoLyfe serves to bridge the gap between entertainment and e-commerce.    

Students will have the opportunity to work with our IT consultant on the following (but NOT limited to) :

1. User acceptance test

2. UI/UX development and refinement

3. Develop/refine existing web and app architecture to provide business analytics

4. Data analytics. Eg. Develop algorithm to optimise recommendations to users based on their activities

Our IT consultant is an alumni of SMU and a current Student Mentor for this programme. Founders are business owners with years of running profitable business and students can expect to pick up valuable real-life business insights and problem solving skills up close.

To chat with GoLyfe, please contact Chua Wee Koon at chuaweekoon@gmail.com and copy to jenniferleow@smu.edu.sg.

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 Friday.AI

Project #1

Inventory management system for local independent retailers

Friday.AI is a startup that aims to unlock the future of work by making AI solutions accessible to organisations of all sizes.

In this project, we will co-develop an inventory management system to help drive digital transformation for local independent retailers, which tend to lack access to costly and sophisticated enterprise-level systems. These retailers tend to rely heavily on manual and inefficient inventory processing with hardcopy invoices, which is time-consuming, error-prone and lacks data insights.

The students are challenged to build an IT web-based application system with a microservice architecture. With the given UI/UX design, students are required to develop using NodeJS. As for the operating logic, students would be required to implement user's requirements into a closed-loop system that can handle inputs and constant updates between the front and the backend. The system must be able to automatically filter the product, based on various features such as product descriptions and details like product category name, previous selling records, historical trends, brand name and item condition, etc. It has to be integrated into the current backend database system. The goal is to prepare an interactive dashboard that unlocks the ability for future data analytics and integrates with other microservices.

The final product will enable the user the ability to: - Analyse and visualize inventory - Forecast supply and demand of consumer goods

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.

For more information, please contact Michelle Tan (tjwm21@gmail.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 UBS Bank

Project #1

Autonomous Onboarding and Periodic KYC Review - Develop a web application to offload some of the work involved in conducting client onboarding and know-your-customer (KYC) reviews. The team's core responsibility will be to develop a web application which exposes an underlying AI model. Some capabilities expected from the web application and the AI model include the following:

• identity validation using machine learning or digital ID infrastructure,
• document validation
• source of wealth analysis by analyzing holdings and relationships
• scanning publicly available information to detect negative, financially sensitive news and contextual information that is deemed material and should trigger a KYC profile update on a real time basis
• augmentation of advisor capacity and decision support.

For more information, please contact Prof Alan Megargel <alanmegargel@smu.edu.sg>

Project #2

Autonomous Prospecting and Product Recommendations - Develop a web application to offload some of the work involved in proposing an appropriate investment strategy to prospective new clients. The team's core responsibility will be to develop a web application which exposes an underlying AI model. Some capabilities expected from the web application and the AI model include the following:

• recommendation to prospects who match UBS typical client profile with higher-than-average chances of acquisition
• identification of similarities between prospect and current clients and suggesting product recommendations factoring in prospect’s preferences,
• disclosed investment decisions and product sales to matching client group,
• factoring in market movements and present in-house CIO views on sector/asset class to provide context.

For more information, please contact Prof Alan Megargel <alanmegargel@smu.edu.sg>

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@user-tip.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@user-tip.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@user-tip.com.

Project(s) proposed by Citibank

Project #1

Derivative & Structured Product Performance Dashboard - Derivative & Structured products are complex and its crucial for Bankers and investment counselors to have a consistent view for how these products perform for our clients. Apart from product performance it’s important to know product lifecycle events and any risks that may be detrimental to private bank clients. This dashboard will allow visualization of such complex information in an organized and intuitive manner.

Full project description at: https://wiki.smu.edu.sg/ISProjectExperience/IS484_IS_Project_Experience_(FinTech)#Citibank_Projects

For more information, please contact Prof Alan Megargel <alanmegargel@smu.edu.sg>

Project #2

Preventive Cross-Platform Risk Assessment - Multiple applications are constructed together to support one of the largest Custodian banking platforms. Any of the components malfunctioning will affect productivity and also lead to a breach of the market deadline. We are seeking for an AI risk monitoring and assessment tool to enhance the platform resilience to another level.

Full project description at: https://wiki.smu.edu.sg/ISProjectExperience/IS484_IS_Project_Experience_(FinTech)#Citibank_Projects

For more information, please contact Prof Alan Megargel <alanmegargel@smu.edu.sg>

Project #3

Document Scrutiny using a Rules Engine - Currently the Document Scrutiny process is a manual task which requires human intervention for regulatory validations. This process is error prone and time consuming.

Full project description at: https://wiki.smu.edu.sg/ISProjectExperience/IS484_IS_Project_Experience_(FinTech)#Citibank_Projects

For more information, please contact Prof Alan Megargel <alanmegargel@smu.edu.sg>

Project #4

Predictive Analysis of Risk Utilization - Phase II - Predictive Analysis of Risk Utilization enables Citi's clients and client facing officials to prevent regulatory violations, navigate trading disruptions by proactively take measures to prevent such breaches by allocating funds or by changing their trading strategy.

Full project description at: https://wiki.smu.edu.sg/ISProjectExperience/IS484_IS_Project_Experience_(FinTech)#Citibank_Projects

For more information, please contact Prof Alan Megargel <alanmegargel@smu.edu.sg>

Project #5

Equities Pre-Trade Booking Reconciliation - Equities Pre-Trade Booking is a manual task at present involving exchange dropcopy feeds, Citi’s internal trade feed for each client. The objective is to develop a tool where clients can review and confirm trades for a given product and market irrespective of execution brokers using exchange dropcopy and broker level reconciliation using blockchain which can be shared across brokers.

Full project description at: https://wiki.smu.edu.sg/ISProjectExperience/IS484_IS_Project_Experience_(FinTech)#Citibank_Projects

For more information, please contact Prof Alan Megargel <alanmegargel@smu.edu.sg>

Project(s) proposed by ComfortDelGro

1. Project #1

Brief Description: As blockchain and related FinTech advances, our transport operation company would like to study the potential applications through rapid prototyping project.

Deliverables: 1. Perform literature, context and industry trend research study 2. Through rapid prototyping, create a usable solution that leverage both blockchain and/or FinTech to enhance transport operation 3. Visioning and road mapping for our business stakeholders

For more information, please contact Gary HOW <garyhow@comfortdelgro.com>

2. Project #2

Brief Description: Singapore's largest transport operator is embarking on its digitalisation journey and actively creating new partnership through digital integration

Deliverables: 1. Perform literature, context and industry trend research study on potential digital partnerships through API integration 2. Through rapid prototyping, create a usable micro services and API-first solution to enhance transport operation partnerships. Create prototype apps to showcase the need for domain-driven design with micro-services and APIs. 3. Visioning and road mapping for our business stakeholders

For more information, please contact Gary HOW <garyhow@comfortdelgro.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 Sandeep Chakraborty (Sandeep.Chakraborty@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 Re-ThinkWealth

1. Creating More Millionaires Who Invest Intelligently

Brief description - We educate professionals and business owners to properly invest in the stock market instead of speculating in the stock market. Value Investing Mentorship will educate them so that they can have multiple income sources to alleviate the cost of living in Singapore.

Objective – Improve the UX/UI of our existing channels for different audience's buying journey: blog (www.re-thinkwealth.com), Webinar (bit.ly/rw-webinar), and course landing page (www.vim.sg). The end goal is to increase student sign up rate and build a high-quality investment community that will be sustainable for decades to come.

Expected outcome – A conversion rate from blog visitors to students of around 0.5 - 1%. With organic web traffic of over 1,000 blog visitors a month, to increase the number of visitors further and attain a conversion rate from visitors to students of around 0.5% to 1%.

For more information, please contact CHRIS LEE SUSANTO <chris@re-thinkwealth.sg>.

Project(s) proposed by PropertyInsights

1. PropertyInsights

1. Brief Description - PropertyInsights is a multi-sided platform in startup mode. It is a tool to support new launch property buyers to obtain real time data and perform end-to-end transaction process until they receive their keys to the project. Objective – Develop a multi-sided platform and mobile app that has SaaS attributes and enables property buyers to view and purchase a property anywhere in the world and streamline the transaction process to make it efficient and convenient to facilitate property buyers to make property transactions via virtual viewings.

Main Features (to be negotiated during project proposal):

- Multi-support to support search request for any new developer launch with tower view real time pricing of available and sold units in dashboard colour coded toggle format

- In-built algorithm to make recommendations based on search criteria and unique homestay/investment/loan assessment & personal profile parameters

- Virtual views and 3D doll house floor plans with measurement features

- Chat function to allow added family members/friends to do virtual viewings and discuss

- Feature e-signature contracts and escrow payment disbursement to property developers

- Comparison feature that narrows down ranked top 5 properties

- Able to monitor project payment timeline up to the key collection stage

- Referral scheme whereby property users receive x% of the revenue for each new referral to the platform

- Per User Pricing (also known as Per Seat Pricing) Model

- Expected outcome – At the end of the project period, the mobile app should be at an advanced prototype stage, nearly ready (if not ready) for commercial use.

For more information, please contact Dyann Thong at thong.dyann@gmail.com.

Project(s) proposed by NoShop

1. NoShop Skilled Services Platform

Brief Description - NoShop is a multi-sided platform in startup mode. It is an online marketplace for skilled personal services (eg. hair cuts, manicures, pet grooming, bicycle repair, etc), connecting consumers and shop-based workers to deliver their services at the consumer’s home, office or a mutually convenient location.

Objective – Develop a multi-sided platform and mobile app that combines Marketplace + SaaS attributes and enables shop-based workers to become independent personal services providers, thus disrupting the traditional shop-based delivery model.

Main Features (to be negotiated during project proposal) -
a) Multi-purposed to support any number of different types of skilled services
b) Service request by consumers for random or named service providers
c) Service provider scheduler optimized for best travel route between jobs
d) GPS / Google Maps tracking of service provider in route
e) Ratings system for service provider and service consumer
f) Fee collection from the service provider's bank account to NoShop's bank account
g) Loyally points / bonus scheme to prevent providers from going rouge (working outside the platform)
h) Referral scheme whereby service providers receive x% of the revenue of the first x jobs performed by each new service provider that they refer to the platform
i) Community chat / forum for service providers to form a community of support

Expected outcome – At the end of the project period, the mobile app should be at an advanced prototype stage, nearly ready (if not ready) for commercial use.

For more information, please contact LOH CHING SOO <lohchingsoo@sloan.mit.edu> or Prof ALAN MEGARGEL <alanmegargel@smu.edu.sg>

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 Shopee

1. Price Suggestion and Elasticity of Demand Analysis in Ecommerce

For ecommerce, product pricing gets harder at scale, considering just how many products are listed and sold online. One big challenge is to define the right price for different kinds of listed products. In addition, some categories or products have strong seasonal or temporal pricing trends, which need to be taken into consideration for price adjustment. For example, there is a significant price increase in masks or other personal protective products in the early stage of COVID-19 outbreak.

In this project, students are supposed to leverage some ecommerce (might be cleaned Shopee data or third-party open source data) to perform modeling and analysis related to pricing in ecommerce. The first step is to build an algorithm that automatically suggests the right product prices, based on the various features such as product text descriptions, details like product category name, previous selling records, history trend, brand name and item condition, etc. For the second step, the student needs to do some research on PED (Price Elasticity of Demand) to understand and visualize how different products’ demand changes with regard to the fluctuation of price changes.

The students need to extract data, select important features, provide insights and build data science models in this project. To demonstrate the effectiveness of the model, detailed studies and analysis will also be required.

For further information, please contact Wang Chen at chen.wang@shopee.com.

2. Causal Inference of Feature Design in E-commerce App

Background: Shopee serves as a leading e-commerce platform to facilitate small to medium enterprises to sell their products across Southeast Asia and Taiwan. To help sellers to attract buyers and make the purchase in their shop, Shopee launched a function to let sellers decorate their shops.

Problem: After white list to a few selected sellers, business need to get a scientific evaluation about how shop decoration helps sellers boost their sales. This would directly determine whether we open this function to more sellers and whether we could monetize this function. The students are expected to use a strict methodology to get the causal effect of shop decoration by building uplift models and considering real e-commerce market conditions, such as Shopee’s rapid growth, other feature changes simultaneously, sales volatility by campaign, diversity of shops and the difference from white-listed shops which are top performed.

For further information, please contact Sophia Shang at Sophia.shang@shopee.com.

Project(s) proposed by Luye Medical Group

1. Reporting in Digital World

Project scope: Luye invites you to become a game changer to make a difference and reimage the possible! We will build a cloud-based clinician workforce productivity dashboard. Student will make use of proposed analytics skills and other digital technology to upgrade internal reporting processes and thus to get information distributed faster – at a substantially lower cost as well. The goal is to combine different technologies across the entire end-to-end reporting progress and enable reporting to become intelligent, interactive, and real-time.

Expected skills:

1. RPA 2. Chatbots 3. Visualization 4. Artificial intelligence 5. Predictive analytics 6. And more…

Learning by Doing: The project will offer students the opportunity of working in the booming industry – healthcare at post COVID time. The ex-Deloitte management consultant/paediatrician will lead and mentor the team throughout the project, conducting virtual meetings with Luye’s three markets (CN/AU/SG) leaders to define problems and craft customized solutions according to each specific culture and business natural.

For further information, please contact Dr Manaen Ma(the ex-management consultant and paediatrician) at manaen.ma@luye.com.

Project(s) proposed by NTUC Club

1. Fun and Engaging Chatbot

Brief Description: In the leisure and entertainment industry, the chatbot will serve our members, guests and communities with a fun-love image and character. While serving the audience with personalized engagement, the chatbot is a channel for the sales and promotion of our service offerings.

Engagement - To service guests with information with regards to our entities, events, marketing and promotions via a cycle of pre, during and post engagement.

Personalization - Target guests' persona, preferences and engage them in their own customer journey. Recommend to guests the appropriate promotions, products and services.

Sales - Demonstrate cross sell and up sell capabilities via integration with the ticketing system for ticket sales.

For further information, please contact VANESSA QUEK <vanessa.quek@ntucclub.com.sg>.

Project(s) proposed by SMU Centre for Teaching Excellence

1. Say It Right!

Personalized feedback, in the context of presentations, has the potential to help students identify key components of good presentation through highlighting high-frequency filler words, text summarization and the pace of speech, etc. Through the use of Natural Language Processing (NLP), an AI-driven application could provide analysis on a presenter's spoken words, voice, tone and provide data-driven feedback to students. These suggested prescriptive recommendations would guide students in improving their public speaking abilities through encouraging them to be self-directed in their learning.

This IS483 project aims to build upon an existing IS480 project/application, Mic-Test 1-2-3 to develop a minimal viable product and build machine learning models aimed at discovering features which contribute to a well-delivered presentation/speech. The key deliverables for the project are as follows: • Analyze presentations and rate it based on performance indicators such as Energy Levels, Emotion Tones (e.g. Anger, Disgust, Fear, Joy, and Sadness) and Language Tone (e.g. Analytical, Confident, Tentative). • Work with Subject Matter Experts (e.g. communications professors) to improve on personalized formative feedback given by the application. • Label collected audios and build machine learning models to discover features that predict the performance of a presentation.

For further information, please contact EDGE: EdTech Green-house, an initiative under SMU’s Centre for Teaching Excellence (CTE), LEONG Kwok Hing <khleong@smu.edu.sg>, Pratibha PALERI <pratibhap@smu.edu.sg>, James FOO <jamesfoo@smu.edu.sg>.

Project(s) proposed by L’Oréal Singapore

1. Data Mining for Store Build Targeting

In order to boost ROI of each store expansion within ASEAN market, L’Oréal needs to develop a deeper understanding of consumer behavior, needs, attitudes and demographics. Students will make use of data mining advances and applications to combine information from various sources such as demographics data (e.g. Age, Education level, Ethnicity, Population density), stores in neighborhood (e.g. distance apart between stores) and internal L’Oréal store data to establish characteristics of each neighborhood. This data-driven segmentations could help identify the potential reach, sales growth of each neighborhood and help to determine new location for store build. Our main focus for this project is one of the ASEAN market (e.g. Indonesia, Vietnam, Thailand, Philippines, India and Singapore) and this depends on availability of census data. For further information, please contact QUARK Vivian <Vivian.QUARK@loreal.com>.

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>.

Project(s) proposed by Credit Suisse

1. Optimal trading strategy

The student will learn the optimal trading strategy that provide the minimum expected cost of trading over a fixed period of time. The theoretical framework is minimizing a combination of volatility risk and transaction costs arising from permanent and temporary market impact. The students are expected to develop the model based on the theoretical framework and to test the model performance by using intraday trading data in the stock market. We will guide students on both modeling and testing to complete this project.

2. Catastrophe stress testing

The student will learn to assess the financial risk of a bank under catastrophe events such as earthquake, tsunami, pandemics and flood. The assessment methodology is based on catastrophe risk model framework developed by the insurance industry. The students will develop the model as well as test the model performance by using historical data such as actual losses, direct and indirect impacts on the economy, corporations, and financial industry due to the catastrophes. We will guide students on both modeling and testing to complete this project.

3. Inflection point indicator - Currency crisis

The student will learn to predict the currency crisis of a country. The currency crisis predictive model is developed based on machine learning algorithm on historical financial and macroeconomic data. Currency crisis is defined as currency depreciation of at least 25% over a one month period. Relevant data for various countries are FX rate, external debt - short term, External debt – total, Current account deficit, inflation, foreign-direct investment, portfolio or other investment inflows, foreign currency reserves, level of M2/reserves, real interest rate, GDP, equity Index, export and import. We will guide the students both on the modeling and testing to ensure the success of this project.

For further information on any of the above projects, please contact Chew, Eric <lengsiang.chew@credit-suisse.com>.