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Branding & Go-to-market strategy development for skincare company Nusmetics
Final Year Students of the Diploma in Business Administration (Digital Marketing & Branding Specialisation)
Nusmetics is a Singapore-registered company specialised in novel delivery systems for skincare solutions. The company would like to better understand the skincare needs for their target consumers, and the business needs for their partners such as aesthetic clinics and spa, in order to develop a compelling go-to-market strategy for their skincare solutions.
The students leveraged on Design Thinking methodology for the project. Empathy study was conducted through in-depth interviews and survey with target consumers to understand their pain points and acceptance towards the new skincare solutions. Students also created prototype of the proposed packaging and marketing campaign to communicate their solutions to stakeholders.
bic@sp.edu.sg
LinkedIn: sp-business-innovation-centre
Integrated Human Resource Project (IHRP)
Final Year Students of the Diploma in Human Resource Management with Psychology (DHRMP)
Driven by their commitment to their people, DreamUs Group, a leading provider of unique interactive play experiences firm running several successful attraction theme parks engaged our students to strengthen their strategy to attract and retain talent.
DreamUs Group wanted to do so through building effective HR processes and a robust HR system that could create an impactful employee experience.
Some of their pain points included the need for a consistent employer branding strategy, having a structured Onboarding programme, creating e-learning materials to train employees, formulating a workable HR Dashboard and analytics and putting into place a holistic Performance Management System.
The students leveraged on the Design Thinking methodology, using empathy interviews and a co-creation process with the client to create the end solutions – this included the use of Robotics Process Automation (RPA), Excel for Dashboarding and an e-learning app to support the plethora of HR initiatives.
As a follow-up, DreamUs Group hired one of the students on a full-time basis to implement the solutions. DreamUs Group have also shared the positive impact on the overall employee experience and productivity.
bic@sp.edu.sg
LinkedIn: sp-business-innovation-centre
Marketing Campaign Development for Ark
Final Year Students of the Diploma in Business Administration (Digital Marketing & Branding Specialisation)
Ark is a multi-concept gym business comprises of brands including brands Ark Move (unisex gym), Ark Liv (female only gym), Ark Pods (private individual room booking), Ark Grit (mass market gym) and Ark Bloc (open air ultra large space encompassing multiple sports). The company hope to better understand the target customer segments for each gym concept to develop marketing campaigns to better connect with the various segments.
The students leveraged on Design Thinking methodology for the project. Empathy study was conducted through in-depth interviews and survey with various target consumer segments to understand their motivation to workout, as well as needs and pain points in gym experience. Students also development marketing campaign plan, and created prototypes and concepts to communicate their plan with various stakeholders.
bic@sp.edu.sg
LinkedIn: sp-business-innovation-centre
Marketing Campaign Development for White Restaurant
Final Year Students of the Diploma in Business Administration (Digital Marketing & Branding Specialisation)
White Restaurant (whiterestaurant.com.sg) is a local heritage food & beverage brand that is known for its Original Sembawang White Beehoon dish. As the brand continues to expand and grow locally and regionally, the brand hopes to better connect and appeal to younger consumer segments.
The students leveraged on Design Thinking methodology for the project. Empathy study was conducted through in-depth interviews and survey with young and middle-aged working adults to understand their motivation and decision making process for choosing a restaurant to dine in. Students also development marketing campaign plan, and created prototypes and concepts to communicate their plan with various stakeholders.
bic@sp.edu.sg
LinkedIn: sp-business-innovation-centre
eISO Platform
Diploma in Information Technology
– Ang Wei Ming
– Cheng Wei Xian
– Chung Kin Wai
– Derrick Lim Yong Hao
– Goh Kai Xuan Bryan
– Wong Yirong Elliott
– Wonna Tun
Established on 29 July 2000, Associates Consulting has been providing management system consulting and training services to over 1000 companies in Singapore and across the region, such as Malaysia and Indonesia. Niche areas of expertise are in Quality, Environmental, Occupational Health and Safety with strong focus on international standards compliance. There are three primary issues with the current system that the company is employing. Firstly, consultants waste a lot of time on mundane tasks. Secondly, the current business workflow is outdated, further impeding the flow of business causing errors in addition, transposition of figures, incorrect recording of a transaction and incomplete recordings of transactions are common mistakes. Lastly, the lack of a database to capture all interactions across teams leads to a lack of transparency into the entirety of the company’s operation pipeline.
A fully digital management system aligned to the ISO 9001 standards (eISO) to replace the existing manual and silo operational workflows. The system will link-up cross-functional processes including sales, finance, project execution and management, and after-sales services thereby enhancing efficiency for ISO Management. Each client will have their own instance on the cloud that caters to their organization exclusively.
Technologies used include:
Front-end: ReactJS, Axios, jQuery, Draft-js, React Bootstrap, React Tooltip, Formik, Yup, react-visibility-sensor-v2, react-tooltip, TinyMCE, sweetalert2, Mdbreact, socket.io, js-file-download
Back-end: Node.js, express, Bcrypt, Cloudinary, Node Mailer, JWT
Database: MySQL, DynamoDB
Ang Wei Ming
angwm.20@ichat.sp.edu.sg
Cheng Wei Xian
chengwx.20@ichat.sp.edu.sg
Chung Kin Wai
chungkw.20@ichat.sp.edu.sg
Derrick Lim Yong Hao
derrickl.20@ichat.sp.edu.sg
Goh Kai Xuan Bryan
Wong Yirong Elliott
elliottwong.20@ichat.sp.edu.sg
Wonna Tun
Food SMELite Insight
– Aditya Adeeb Adnan Ghosh
– George Yin Xu
– Fok Yanrui Javier
– Pang Guan Xi
– Yeo Xun Hui Shelby
The Food Innovation and Resource Centre (FIRC) was launched in 2007 as a joint initiative between Singapore Polytechnic and Enterprise Singapore (previously SPRING Singapore). It is established to provide food enterprises with technical expertise in new product and process development including packaging, shelf life evaluation, market testing and automation.
The food production process requires multiple machines. A production has different stages where different machines are required. The machines cannot be used concurrently, hence scheduling is the key to increasing utilisation and improve productivity.
Food SME Lite had developed input devices for supervisors to key in the utilisation period of the machines where the information will be synchronised to the cloud database. The information captured includes the machines active period, the stage of production the machine was involved and for which process.
The Project is to develop a responsive web application to access the data captured and provide insightful information of machines usage on dashboards to help improve scheduling decisions thus improving machine utilisation. This could close the gap between current production status and planning production.
Food industry producers can enhance the company’s productivity using the dashboard systems to track and view equipment and product details through clear data visualisation. Furthermore, this allows them to maximise production which ultimately increases their profit, bringing benefits to the company.
Front-end: ReactJS, Axios, jQuery, D3
Back-end: Node.js, express, Bcrypt, Cloudinary, JWT
Database: PostgreSQL
Aditya Adeeb Adnan Ghosh
aadeeb.21@ichat.sp.edu.sg
George Yin Xu
georgeyin.21@ichat.sp.edu.sg
Fok Yanrui Javier
javierfokjf11.21@ichat.sp.edu.sg
Pang Guan Xi
guanxi.20@ichat.sp.edu.sg
Pang Guan Xi
yeoxhshelby20.21@ichat.sp.edu.sg
Smart Virtual Career Counsellor
Diploma in Applied AI & Analytics (DAAA)
– Ho Yuan Rui Mathias
– Lee Yang Xuan
– Tan Jun Hong Sean
– Kieron Teh Ming Xiang
– Hanzalah Bin Mohamad Hisam
– Andric Ang
– Justin Tan Jun An
– Maxwell Jhotiko Chow
Built using multiple AIs in the domain of Named Entity Recognition (NER) and Semantic Similarity, our recommendation & recognition system is specifically catered towards SkillsFuture’s unique Skills Framework comprised of the Critical Work Functions, Key Tasks, Technical Skills & Competencies and
Critical Core skills required for a job.
The system can accurately and efficiently determine what skills our users have, encompassing a wide array of skills,
including domain-specific ones like knowledge of software, e.g., Python, Java, MySQL, converting them into the format of the Skills Framework, e.g., Cloud Computing or Computational Modelling.
Using the framework, it will then recommend the jobs most suited to our users based on their knowledge, experience, and skills that they possess, as identified by the system previously.
The pain points were the base ideology of the project was setup in previous phases as it was not ready for commercial use due to its speed and accuracy. The previous phase also had performance issues and glaringly flawed design problems that needed to resolved or rebuilt.
The project value-add to the transformation was the team providing a much faster and highly accurate back-end engine for the client to use. We also restructured and updated the Neo4j database that was already setup with updated data.
A key milestone achieved during this phase is that we are in initial stages of deployment and have set up the full application online to test and use.
The team also changed and used the XLM-RoBERTa model as our Named Entity Recognition model as it was evaluated to be the best performing model. The NER system made performed well and achieved a high f1-score which allowed us to have a well-oiled back-end engine to work on any resume given.
Furthermore, we introduced a new Semantic Similarity matching system to more accurately determine the skills that our user possesses when translated into the Skills Framework taxonomy.
We also did a revamp on the recommender system to comply with the new NER and updated database.
Key technologies introduced to the project were NLP concepts, Named Entity Recognition, Semantic Similarity, and the Neo4j database.
QlassroomPlay
Diploma in Information Technology
– Amanda Quek Yan Ling
– Maryse Lorenzo
– Aisyah Nur Imanah
– Wong Wei Jian
QlassroomPlay is a Web3-inspired learning application that encourages daily study habits through the use of cryptocurrency and gamification features. At the centre of QlassroomPlay are Pen and Book NFTs that users obtain to help them in their learning. Users can equip Pens to gain special in-game advantages during practice. Books are used to unlock subjects for users to learn about such as Mathematics, Physics and Chemistry.
While there are many learning applications already in the market that caters to students needs including QlassroomAI itself, not many address possible motivation and focus problems that students may have when studying. With this application, we hope to alleviate this problem by introducing gamification features to keep students interested in learning. Not only does this application complement QlassroomAI’s special learning algorithm, it also introduces some cryptocurrency concepts to students which are useful in this day and age. Consequently, QlassroomAI’s system of learning applications is diversified with the introduction of this application, ensuring that all the needs of any student is met no matter the challenges they may face.
While the development was rocky in its initial stages with the overall design going through numerous iterations, the team and the client finally reached a consensus with a combination of design proposals from both sides. The client agreed that the finalised design complemented QlassroomAI’s current design well.
Currently, the React Native application is made partially with our own assets and animations. The pen assets were made through the use of the Moralis.io NFT generation API while the rest were made through Adobe Photoshop. In the heart of the application lies the learning algorithm that provides a curated list of questions for each user based on their learning profile. The application features a friend system as well through the use of Redis that facilitates friend requests on the application.
Amanda Quek Yan Ling
https://www.linkedin.com/in/amanda-quek-386974211/
amandaquek281@gmail.com
Maryse Lorenzo
https://www.linkedin.com/in/lorenzomarysekristenb/
Maryse.akbl@gmail.com
Aisyah Nur Imanah
https://www.linkedin.com/in/aisyah-nur-imanah-a0b5b91b1/
aisyahnimanah7.12@gmail.co
Wong Wei Jian
https://www.linkedin.com/in/wongwjian/
wwj051102@gmail.com
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