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Welcome to IS480: IS Application Project

These are current projects for IS480. The descriptions are maintained by the course manager. Past Teams


More information on user testing are available on this link.

Getting Started

More information on IS480 are available at IS480 website, and Facebook. You need to decide a team name and send that name to the course coordinator. We will update the IS480 main page with your team name. This team name is used as the root of your wiki page. To contribute to this wiki, please login (click upper right corner) using your SMU or given username and password. Select the appropriate domain SMUSTU/SMUSTF/local. You can refer to other team's wiki (dashboard, team roles, project overview, project management with minutes, documents) or the following: Sample midterm finals. For help, click here, please refer to the wiki POLICY. IS480 is now an SMU-X course! Check out the SMU-X webpage.

2018/2019 Term 2

Schedule. Inform course coordinator by 8 Oct (no teams will be added after that date), please submit your 2 page proposal by 23 Oct.


  • Please schedule acceptance, midterm & final . Time slots are inclusive of Q&A.
  • Please refer to grading, video & guide.
  • The entire team must be at the presentation. Supervisors and course coordinator must be at Acceptance. Reviewers must be at Midterm. Supervisor & first reviewer must be at the Finals. The team should invite the sponsor for finals

Click on your team name in the team column to update your team wiki page. Have fun!

Supervisor Reviewers Team Project Members Sponsor
David LO Yingjiu LI & TAN Hwee Xian


Preferred.AI – Personalized Recommendations Powered by AI In this project, Team Aidea would be building a personalized recommendation system on an ecommerce platform called ThriftCity. It gathers offers from several major retailers worldwide and presents offers from these sites at “all-in” prices that include tax and shipping for each product.

The scope of our project includes a collaborative recommendation system encompassing of several functions: a personalized product recommendation engine, personalized user query search engine and personalized ‘related item’ recommendations for ThriftCity users through the utilization of machine learning algorithms using Cornac, a machine learning library provided by Preferred.AI team to develop this system, revamping the front-end of ThriftCity and incorporating an end-to-end framework.

Inspired by the growing trends and rise of digital consumers , the ecommerce market is flourishing (e.g. US ecommerce now represents a $155 billion market with an estimated total of 6% of retail sales). It would be advantageous to tap on this growing network of consumers. Hence, we are creating ThriftCity to help these users enhance their shopping experience online.

  1. YANG Ziheng
  2. WANG Yiding
  3. WEI Ming
  4. LYU Cheng
  5. Cherie YONG Jiayi
Hady Lauw, LE Duc Trong, LE Duy Dung, LEE Ween Jiann, Preferred.AI
LI Yuchen TAN Hwee Xian & Yingjiu LI

Beyond Ideas

External data correlation system We will be building a web application that will correlate data using a supply chain data visualization platform. The web application will be deployed to DHL and used by their data scientists in their supply chain department. The web application will also include web-scraping service that will extract relevant information that might affect DHL’s supply chain, information such as latest news on weather, country index, companies, financial market, etc. Other features include data visualization, configurable web-scraping and correlation setting for administrators, importing and exporting of data. Our X-factor is to apply data correlation for data scientist to search for patterns

  1. Andy ANG Yong Kiat
  2. Joel ANG Wee Keat
  3. TAN Li Kai
  4. TAN Soon Wei
  5. XU Ying
Benjamin Gan, DHL SMU analytics lab
Yingjiu LI David LO & TAN Hwee Xian

Bits & Bytes

Jobstoday – Part time jobs platform Jobstoday is a staffing company that specializes in providing part-timers to meet out-sourced staff requirements in the F&B industry. The aim of our project is to streamline the process by automating manual tasks such as timesheet generations and parttimer payment. The web-application will also manage the onboarding process of scheduling interviews and provide a progressive reward system to retain users. In addition, Bits&Bytes aim to leverage on data analytics to identify user/job trends and allow Jobstoday to optimize their marketing campaigns. The project’s X-factors are as follows: Reduction in payment time from 3 days to under 24 hours, backend document processing from one week to one day, and increasing active userbase by 25%.

  1. Shaun John CHEETHAM
  2. CHANG Jia Li
  3. LIM Yi Bin
  4. ONG Lin Sheng
  5. ONG Yan Kai
  6. TAN Kok Heng
Lin Rongjie jobstoday.com.sg, SMU alumni
Yingjiu LI David LO & TAN Hwee Xian


IMAPAC – Platform for B2B communities Project Partnerry provides B2B community owners, namely B2B conference and exhibition organisers, trade and business associations a year-round community based platform for partner matching. Parterry facilitate meetings during their events, and most importantly, provides various ways for B2B community owners to engage their audience, hence allowing community owners to build stronger connection with users to ensure they stay in the community. The project will tackle the issues faced by B2B community owners and users including: building sustainable, exclusive and engaging communities; creating efficient networking methods; introducing private, equal and pre-qualified business exchange partnership opportunities. X Factor: 1. Partnerry will have a Pilot with actual users in BMA conference on 26 Feb with more than 200 attendees. 2. Project Partnerry aims to serve at least 2 communities and over 400 actual users by April 2019. 3. Different templates will be created for community owners from different sectors, to cater to at least 6 different industry categories. 4. The project will provide a stable foundation for the future implementation of payment and other functions.

  1. WANG Youjin
  2. TOH Hon Hui
  3. Nydia SUBUR
  4. CHOI Hee Won
  5. WANG Zhuowei
Wang Tingting, General Manager IMAPAC PTE LTD
Benjamin GAN Yingjiu LI & David LO

Chicken Dinner

SIS Celina - Track2Career A Track & Career Discovery Platform The team seeks to develop a web-based and mobile friendly application that empowers students in the school of Information Systems to pursue their dream job. This application will enable students to search keywords on track specialization and explore the relevant skills, courses and tracks which will put them onto the right path towards their dream job. Beyond the search tools, the system will also provide valuable insights such as dashboard summary, skills analytics and wage analytics.

  1. LIM Jin
  2. Regan SEAH Chen Xun
  3. XU Haonan
  4. TAN Zer Dong
  5. TAN Wei Zheng
  6. Alan GOH Zhi Qiang
Wendy Tan & Celina Koh, SIS
TAN Hwee Xian Yingjiu LI & David LO


Runkicker – Data framework integration platform This project aims to build a health and fitness Android hybrid application that will provide personalized recommendations for each user based on the following data: • Wearables Data (if users have Fitbit, our Android application will redirect them to Fitbit page for authorization) • Nutrition Data (manual log + from Food AI API & FatSecret API) • Sleep Data (manual log + from Fitbit API + Google Fit API) • Activity Data (manual log + from Fitbit API + Google Fit API)

Our project will integrate all the data from the different APIs (Fitbit, Google Fit, Food AI, FatSecret), and provide recommendations for users based on these data to give them insights on their health using analytics. Such insights are for each category like nutrition (e.g. important nutrients that is missing from diet according to week analysis). It also provides recommendations for factors that are correlated: activity, sleep, nutrition, mood and health (e.g. if a user has been having trouble sleeping or feeling depressed; possible link between diet and exercise on mood and diet on sleep) - our application will analyze all his relevant health data and come up with possible health risks (e.g. obesity, insomnia) and provide recommendations.

  1. LUA Luo Shan
  2. Lydia HENG Jing Yi
  4. LOW Wei Yang
  5. LUO Hao Nan
Shaun or Marek runkicker.com
David LO TAN Hwee Xian & Yingjiu LI


Samaritern – Career and skills platform The primary objective of this project is to create a platform that grooms young talents to be ready for the dynamic workforce. We grow our talents’ skill and knowledge through mentoring platform and course recommendation. Once they have been equipped with the necessary knowledge and skill, the platform will then recommend jobs that match with their skills and interest. There are 3 core segments of this project: a. Career mentorship:To increase the employability rate, young talents should have a proper guidance from the expert mentors in the same industry. The website allows the young talents to look for these mentors to guide them through their career journey. b. Skills training:Talents will be able to undergo courses to learn relevant skills to increase participant’s suitability to jobs. c. Job matching:Website will allow young talents to take an assessment and match talents to relevant opportunities based on career goals and their assessment results. Our X-factor is to create a working platform to achieve at least 50 talent signups + 15 mentor signups + 15 successful mentoring sessions by the time our project is finished.

  1. Tommy JOHNSON
  2. FRESI
  4. Tanrio Satria Junuan TAN
  5. ALI Surya Gunawan
Samaritern, Hansen Lee {SIS alumni}
LI Yuchen David LO & Yingjiu LI

Panda Conda

Platform for Supply Chain Data Visualisation The project aims to create a data visualisation dashboard for supply chain company – web-based application. The process involves extraction, transformation and loading of data. In addition, descriptive and predictive analytics will also be implemented to suit the needs of the different business units. The X factor could be used of data by 2 different business units/clients, specifically the actionable insights the dashboard helps to generate and time saved in producing these insights – Past vs Present.

  1. Patrick TAN Kun Wei
  2. Bryan GWAN Wei Hao
  3. LE VAN Tuan Long
  4. KIM Huiyeon
  5. Rainean Young CALUBAD
Benjamin Gan, DHL-SMU Analytics Lab
TAN Hwee Pink Benjamin GAN & Alan MEGARGEL


NTUC Health currently employs sensor technologies to assist in their caregiving services for stay alone elderly living in rental flats. The deployed sensors consist of Passive-Infrared motion sensors, magnetic contact sensors, a button as well as a Bluetooth (BLE) beacon. Data collected from the sensors form the backbone of a reactive care system used to alert the caregivers when help is required by the clients. Currently, there are 5 homes deployed with the sensors across various estates, and caregivers utilize an alert based workflow to monitor them and assist them.

NTUC Health is looking at piloting dashboard monitoring as well as analytics in place to determine if clients are at home or require any assistance. This dashboard will also provide a functionality to contact the client and alert them of any emergency within the building, advising them to evacuate

  1. GAN Shen Ying
  2. Ragini VERMA
  3. SHI Jianrong
  4. KER Wei Xiang
  5. Stephanie TOH
  6. TEO Wei Song
Jeannie Ho - Assistant Director, NTUC Health, Sponsor via iCity TAN Hwee Pink, Crys Tan
David LO TAN Hwee Xian & LI Yuchen


Our project aims to automate and streamline the dynamic process of cleaning raw server data relating to Wireless@SG network. The process will be executed by either manual uploading or automatic retrieval from IMDA servers daily based on set time. Within the system frontend interface, the users (IMDA network engineers) will be able to manually upload raw server logs, access past cleaning reports, generate datetime specific Access Point (AP) analysis and Historical analysis reports, custom user-specific alerts thresholds, and historical analysis alerts (potential faulty AP, router reaching limitations). We aim to develop a fully working Network Analytics System prototype ready for IMDA internal use, that can be fine-tuned for full scale implementation (e.g. after professional code audit, adaptation for enterprise deployment). This project’s XFactor is the ability to pre-empt IMDA for potential AP and router faults while also automating the whole data cleaning process and drastically reduce man hours required for the respective users to perform the same task daily by up to 50%.

  1. Lim Chuan Siang
  2. LIM Geok Shan
  3. ONG Yu Xiang
  4. CHUA Wei Hao
  5. Jeremy LIM Yong Sheng
  6. Joshua LIM Yong Wah
Koh Wee Loong, Assistant Director (Tech), Info-communications Media Development Authority of Singapore
Yingjiu LI TAN Hwee Xian & LI Yuchen


Samsung Galaxy S4 GT-I9505 black mist (black cover) S/N: RF1D82AXEBZ IMEI: 357800/05/988598/0, Samsung Galaxy S4 GT-I9505 black mist (brown cover) S/N: RF1D82AXZEP IMEI: 357800/05/989195/4 [Loan by Haniaiman]

Vishal/Bobby – Ole Football. Friends. Fun. Ole Football. Friends. Fun. is an Android mobile application that allows users to predict football scores for different football leagues that is currently ongoing. There will be two main features of the application, which are 1) Private and 2) Public. Private allows users to create a group among their friends and predict the match scores and other additional predictions (i.e: specials) within the group. Public on the other hand allows users to predict the match score and other additional prediction on a public level. The team will be building a web application on top of the mobile application to enable to Admin of the application (i.e: sponsors) to manage the application. Given how niche the concept of the application, the X-factor of the project is to gather 500 testers for our UAT.

  1. Haniaiman Binte Mohamed ISHAK
  2. Nur Hazirah Binte HARIS
  3. LI Wei En
  4. LIAO Yi-ting
  5. Nurfarihin Binte KAMARUZZAMAN
  6. Sai Sravani LANKA
Vishal Kanwar, Caleb Raj, Nizam and Bobby Harjani SIS alum
TAN Hwee Xian Yingjiu LI & David LO

Team Hamm

Samsung Galaxy S9 Midnight Black 64GB S/N: R58K235H3LN IMEI: 352711/09/565410/5 [Loan: Anicia GAN]

SMU HR – Engaging U Our project aims to automate and streamline SMU's Engaging U onboarding program. We're developing a mobile application to provide an interactive Amazing Race trail, and a more efficient trail-management process, thereby eliminating the traditional use of pen-and-paper. Our application would allow new hires to navigate to different hotspots in SMU via digital map to take on various AR games, reveal interesting narratives about SMU which would allow them to complete missions to gain points and compete against other teams. This would help them familiarise themselves with different parts of SMU and understand the historical stories behind them.

  1. Anicia GAN Jin Yung
  2. Ryan YANG Fengrui
  3. Nicholas THIAN Chuan Hui
  4. Raylene NG Min Yun
  5. Celine CHUA Zhi Li
  6. KIN Chia Heng
SMU HR Learning and Organization Development: Chua Su San: Andrew Selvam: Valerie Neo: Yvonne Mok:
Yingjiu LI David LO & TAN Hwee Xian

The First Order


This project aims to deliver a restaurant order mobile application, MakaNow, and a restaurant management web application for partnering restaurants that allows its seating customers to view food menu, submit orders and pay bills right from their personal mobile devices. MakaNow also provides users an overview (restaurant description, rating, reviews, food menu, promotions) of partnering restaurants which will assist in their decision-making before choosing a restaurant to dine-in. The restaurant management web application will consist of a Content Management System (CMS), Restaurant Floor Terminal (RFT) and Kitchen Terminal (KT). The restaurant manager will utilize the CMS to view reports (transaction and item order histories) and to CRUD food menu items. Along with the integration of RFT and KT with MakaNow, these terminals provide real-time view of table and order statuses respectively.

  1. TAN Xinyi
  2. YUEN Chui Shan
  3. Gordon WONG Kuan Wai
  4. Amanda LEE Si Hui
  5. Keith SIEW Guo Dong
  6. Cleave CHING Wen Qi
MakaNow, Joshua Chan, Derrick Goh and Fu Jiacheng
TAN Hwee Xian LI Yuchen & David LO

The Sailors

Lighthouse Marine & Inspection Services – Central reporting system Lighthouse Marine is an independent inspection/surveying company that operates globally. The company specializes in services such as Marine Inspection, Bunker and Cargo Surveying. Currently, Lighthouse Marine has an inefficient reporting process. The surveyor manually compiles and delivers the report after each job and only then will the administrative staff audit it for the client’s perusal. Often the surveyors will be out at sea for their job and it will at least take a few hours before the report reaches the office. There is little transparency of job updates as the client will receive the report hours after it’s completion. Therefore, Lighthouse Marine is interested in an application that allows seamless flow of information between the company’s stakeholders.

  1. Aloysius TEO Yong Sheng
  2. TOH Eng Teck
  3. Samantha Ann NONIS
  4. OW Zhen Yao
  5. Anthony TAN Yap Teck
  6. CHUA Yi Fang
See Jun Ji, Lighthouse Marine & Inspection Services
David LO LI Yuchen & Yingjiu LI


Our project aims to optimize and streamline the shift booking process in CREA by building an Employee Management System (EMS), which is a web application to replace its existing manual shift booking system using google sheets.

The EMS will consist of 6 main functions: 1. Automated Confirmation of Shift Booking Module 2. Auto Computation of Hours Module 3. Timesheet Management Module 4. Bluetooth Attendance Logger 5. Analytics Module 6. Administrative Access Rights/Functions Module The EMS will be able to provide analytical reports on employee performance through data extracted from an external Contact Management System (CMS). This interactive dashboard provides a quick visual representation of employee performance, providing the manager with the option to drill down into the details to gain insights for better planning and optimizing the respondent engagement.

  1. Cassandra LIM Yi Ling
  2. Brandon KANG Jun Han
  3. Nathan NEO Xu Cheng
  4. Moses FAM Qi Xian
  5. PEI Jun Ming
  6. Hidayatullah Bin SEMAON
Centre for Research on the Economics of Ageing (CREA)

Catherine Loh, Research Panel Manager

2019/2020 Term 1

Schedule. Inform course coordinator by 20 May (no teams will be added after that date), please submit your 2 page proposal by 20 June.


  • Please schedule acceptance , midterm & final . Time slots are inclusive of Q&A.
  • Please refer to grading, video & guide.
  • The entire team must be at the presentation. Supervisors and course coordinator must be at Acceptance. Reviewers must be at Midterm. Supervisor & first reviewer must be at the Finals. The team should invite the sponsor for finals

Click on your team name in the team column to update your team wiki page. Have fun!

Supervisor Reviewers Team Project Members Sponsor
TAN Hwee Xian Benjamin GAN


Project R&I is an IS480 Project aimed at replacing the SMU tBank legacy Retail Internet Banking with an all new Retail Internet Banking application and introducing new functions under Wealth Management – Dual Currency, Wealth Portfolio and Stock management. These functions will be built on Vue.js framework and will make REST API calls using JSON/AJAX to the backend which is built on TIBCO software. For teaching purposes, a gamification module will also be integrated into the Retail Internet Banking application to facilitate in-class lab exercises for financial technology-related courses. It will be used to gauge the students understanding of real-world banking operations and its applications in finance.

The project’s X-factor is a proof deployment where the application will be used in the classroom to provide students with an experience of a real-world banking operations as well as exposing them to modern digital banking architecture which is typically used in banks today.

  1. CHOW Li Ting
  2. Rachel TENG Shu Yan
  3. Thevakumaren S/o N MORGAYA
  4. Raghavendar GOWRI SANKAR
  5. Benjamin MOK Hao Ze
Alan Megarel, tBank
??? ??? & ???



  1. Piyarat SURATPIPIT
  2. Shahnaz RUHI
  3. ZHANG Haoyu
  4. CHAN Yiwen
  5. TAN Lye Jun
??? ??? & ???



  1. Hendro PICK KANG
  2. Ryan WONG Poh Fai
  3. Lionel LORK Jun Xi
  4. GOH Nai Yuh
  5. Darren NG Zixiang
  6. KIM Do Yeon
??? ??? & ???


SMU CTE - Project Mic-Test 1-2-3 Project Mic-Test 1-2-3, a Voice-Recognition Artificial Intelligence project, seeks to build an application that will provide students with formative feedback on their presentations to supplement instructors’ feedback. In addition to students’ presentations, such application, when developed, has great potential to be applied to different context (e.g. training of interview skills). It is envisioned that this project could be done in two key phases

  1. NG Pei Qi
  2. Gabriel KOH Zhe Ming
  3. Gabriel KWAN Seng Whye
  4. Samuel FOO Jiaquan
  5. WAI Jia Jie
LEONG Kwok Hing, WEE Tian Lu , James FOO Chek Keng, CTE
??? ??? & ???


Project Layla was initiated to bring convenience to our end users. In the HVAC industry, consumers are being charged in various price ranges. Additionally, there is a minimal amount of information that can be found in the online platform as some of these companies are not active in the online presence. With the integration of the applications by ASPT(Singapore) Pte Ltd, it increases the transparency of the supply chain down to our end target market.

Building a full-scale web platform application optimized for the end user, to aid in decision making and sourcing information on heating, ventilation, and air conditioning (HVAC) repairing services. The functions include easy browsing in terms of categories for different specialities vendors and also provides ratings for better decisions making. With the database owned by ASPT(Singapore) Pte Ltd, the consumer can find contacts information based on their need.

  1. ONG Pei Shan
  2. LEE Ying Seow
  3. LI Yigang
  4. KANG Hui Yun
Chua Yiyong, Executive Director, ASPT(Singapore) Pte Ltd
??? ??? & ???



  1. Georgina KOH Ju Na
  2. CHIENG Jin Kiat
  3. Rebecca GOH Li Na
  4. Denise LEE Chew Ling
??? ??? & ???