National AI Student
Challenge 2025
Challenge Partners
About NAISC
AI Singapore, with support from the Infocomm Media Development Authority (IMDA), various partners, and sponsors, has been organizing the National AI Student Challenge, which has attracted over 2,000 participants to date. NAISC aims to empower students by providing them with the platform and resources needed to accelerate their AI learning journey, fostering innovation and cultivating the next generation of AI users, practitioners, and creators equipped to tackle real-world challenges.
NAISC 2025 – Challenge Tracks
The National AI Student Challenge 2025 offers 7 Challenge Tracks, each with its own eligibility criteria and requirements.
- Step 1: Please carefully review the deliverables and eligibility criteria for each of the Challenge Tracks below.
- Step 2: Kindly ensure that you meet the skills and eligibility criteria before selecting your preferred Challenge Track. Note: Local Tracks are exclusively available to students studying in Singapore, while the AWS Track is open to regional students studying in Singapore, Malaysia, Indonesia, Vietnam, the Philippines, or Thailand.
- Step 3: Each Challenge Track has limited space. Registration is on a first-come, first-served basis and will close once all slots are filled, secure your spot by applying promptly. Successful applicants will be notified by 7 March 2025.
AI Singapore
| Mission: | Launched in May 2017, AI Singapore brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow knowledge, create tools, and develop the talent to power Singapore’s AI efforts. LearnAI is a programme under AI Singapore, which aims to develop generational AI capability programs to build AI Aware and AI Ready Talents. This is done through the development of self-directed learning resources for students and working professionals, and the creation of a suite of programs to help students and professionals accelerate their AI learning journey. AI for Good is a branch of initiatives under LearnAI, focusing on outreach initiatives to underprivileged communities. This initiative seeks to bridge the digital divide by making AI resources, tools and knowledge accessible to those who may otherwise lack opportunities, creating meaningful and positive impact. Task: Using any AI Generation tools of your choice, design two related logos. 1. One for LearnAI 2. One for AI for Good Logos should align with the vision and purpose of AI Singapore, emphasizing the identity of each initiative. While specific themes are not provided, participants should ensure that the logos reflect the intended purpose effectively. |
| Skills and Tools: | • Prompt Engineering • Any Open-source GenAI image generating • [Optional] Adobe Illustrator or Photoshop for post-editing the designs but changes must be documented |
| Deliverables: | Each team is to submit: (i) Two (2) AI generated logos (1 for LearnAI, 1 for AI for Good) (ii) One (1) recorded video presentation illustrating the process and ideation behind both logos (maximum 10 minutes duration); (iii) A journal entry detailing each logo’s significance and meaning, as well as the prompts and models used with screenshots and detailed documentation of prompting techniques and the iteration process (maximum 5 pages excluding appendices) |
| Eligibility: | • Full-time students currently enrolled in Primary, Secondary, Integrated Programme School, Junior College, Institute of Technical Education, Polytechnics, University (Undergraduate) or Full-time National Serviceman (NSF) • 1 to 3 person(s) per team • For Primary & Secondary Students, registration is only strictly via your school teacher, coach or parent. The school teacher, coach, or parent will act as the Point of Contact (POC) to help coordinate and form the team. Students will participate in this challenge in their personal capacity. |
| Evaluation: | • Logo design • Cohesiveness: how well the two logos complement each other • Significance: how well the logos represent the purpose and vision of LearnAI and AI for Good • Prompting Techniques • Presentation Skills |
| Prizes: | • A certificate of participation will be awarded to all participating teams. • The top three (3) winning teams for each task will receive one (1) trophy per team and medal for each team member. • Winning logos will serve as inspiration for AI Singapore in creating the final LearnAI and AI for Good logos. Credits will be given to the winners. |
| Important Dates: | • Meet the partner session / Challenge Announcement – 13 March (Online) • Award Ceremony – 29 May |
| Registration: | Registration for AI Singapore track has closed |
Science Centre Singapore
| Mission: |  About New Science Centre The new Science Centre welcomes people of all ages to reimagine STEM (Science Technology Engineering Math) experiences. In addition to enjoying and exploring science exhibits, visitors will be able to participate in workshops, exhibitions, and seminars around real-world issues like sustainability and climate change, and emerging technologies like generative Artificial Intelligence. The new Science Centre will be a place for the community, integrated with the surrounding landscape, with lush gardens and spaces for all to enjoy. KidsSTOP, the children’s science gallery, will be more than twice its current size . It will feature interactive exhibits and activities that encourage science exploration through play. Click here for more information and pictures of the new Science Centre! Task 1: The New Science Centre will be a place that welcomes all ages to explore STEM (Science Technology Engineering Math). Design and share your vision of an experience that people from all walks of life could enjoy at the New Science Centre. Task 2: The new KidsSTOP children’s gallery will feature hands-on, interactive exhibits that encourage exploration for young children. Design a new children’s mascot for KidsSTOP that represents two or more of these values: 1. Joyful exploration 2. Creativity 3. Resilience 4. Empathy |
| Skills and Tools: | • Imagination • Prompt Engineering • Open-source GenAI image generating |
| Deliverables: | Each team is to submit: (i) Two (2) GenAI images (1 image per challenge statement) AND (ii) One (1) combined physical presentation explaining both solutions (maximum 4 minutes duration) at the AI Student Developer Conference (28/29 May 2025) |
| Eligibility: | • Students from Primary 5 to Secondary 2 in local MOE schools • 1 to 3 person(s) per team • Registration is only strictly via your school teacher • Maximum of 3 teams per school • The school teacher will act as the Point of Contact (POC) to help coordinate and form the team. Students will participate in this challenge in their personal capacity |
| Evaluation: | • Novelty of the solution • Effective use of GenAI to visualise the solution • Presentation of the solution |
| Prizes: | • Each member from the Top Three (3) Teams for each challenge statement will receive one (1) pair of tickets to Science Centre Singapore and the Omni-Theatre show. (Ticket validity to be advised upon presentation of prizes. Terms and conditions apply.) • A certificate of participation will be awarded to all participating teams. • The top three (3) winning teams for each task will receive one (1) trophy per team and medal for each team member. |
| Important Dates: | • Meet the partner session / Challenge Announcement – 13 March (Online) • Physical Presentation – 29 May • Award Ceremony – 29 May (PM) |
| Registration: | Registration open till 15 April 2025 Science Centre Singapore Track Registration |
DataRobot
| Mission: | Theme: Predictive Maintenance Goal: Develop a machine learning model to predict equipment failures in advance by analyzing sensor data including vibration, temperature, pressure, and operational metrics from industrial machines. The model should classify machines into ‘Healthy’, ‘At Risk’, and ‘Critical’ states, enabling maintenance teams to schedule repairs proactively and reduce unplanned downtime. Historical maintenance logs and sensor readings from the past years will be provided, including timestamps of actual failures and repairs. Theme: Demand Forecasting Goal: Create a forecasting model to predict service demand levels in advance across different service categories and locations. Using historical transaction data, customer demographics, seasonal patterns, and local event calendars, the model should output daily demand estimates to optimize staff scheduling and resource allocation. The success metric is MAPE (Mean Absolute Percentage Error) of predicted vs. actual demand – with a target accuracy to be prescribed. |
| Skills and Tools: | • Python & Software Engineering skills are optional. Your primary tool will be DataRobot’s AI Platform. Platform access & training to DataRobot will be made available. • You are permitted to use any other open-source resources to enablement the development of the AI Solution. • Any available datasets related to the problem statement(s) will be provided. You may obtain publicly available datasets / documents as required. |
| Deliverables: | Each team is to present: • Team’s approach to the problem statement, The AI Solution (Predictive AI x Generative AI), Challenges Faced, Reflections of the Challenge • Video demonstration of the AI Solution |
| Eligibility: | • You must be a full-time student currently enrolled in a Institute of Technical Education, Polytechnic, University (Undergrad), Post-graduate • 2 – 3 person(s) per team |
| Evaluation: | • Impact of the solution • Novelty of the solution • Performance and efficiency of the solution • Presentation skills |
| Prizes: | Potential Internships Opportunities for Top 3 Winners |
| Important Dates: | • Meet the partner session / Challenge Announcement – 12 March (AM) • Final Presentation & Award Ceremony – 28 & 29 May |
| Registration: | Registration for DataRobot track has closed |
Temus
| Mission: | Ignite your imagination with Temus customizable, programmable, and interactive GenAI Avatar! The mission? Think outside the box and explore bold, creative ways to deploy this cutting-edge tech across limitless real-world scenarios. |
| Skills and Tools: | • Python programming language • Remaining tools will be provided during the hackathon |
| Deliverables: | Each team is to submit: (i) A powerpoint deck/word document of the problem statement and use case that the GenAI avatar will be used for (ii) A working demo of the GenAI avatar with its customized voice, personality, face |
| Eligibility: | • You must be a full-time student currently enrolled in an Integrated Programme School (e.g. International Baccalaureate / NUS High Diploma), Junior College, Polytechnic, University (Undergrad), Full-time National Serviceman (NSF) • 2 – 5 person(s) per team |
| Evaluation: | • Creativity of use case/problem statement identified • Creativity of the GenAI avatar implementation • Presentation skills (clarity and engagement) |
| Prizes: | Potential Internships Opportunities for Top 3 Winners |
| Important Dates: | • Meet the partner session / Challenge Announcement – 11 March (AM) • Final Presentation & Award Ceremony – 28 & 29 May |
| Registration: | Registration for DataRobot track has closed |
Huawei
| Mission: | Theme: AI in Smart City Singapore, as a rapidly evolving urban landscape and one of the world’s most densely populated countries, faces substantial challenges in its digital transformation journey while striving to maintain safety, efficiency, and a high quality of life for its residents. Huawei’s mission to bring digital solutions to every person, home and organization for a fully connected, intelligent world resonates with Singapore’s digitalization goals. Huawei is committed to help accelerate Singapore’s transformative journey into an AI-first Smart Nation. Track 1: Reinforce Public Safety and Emergency Response • Develop a predictive analytics model that can identify high-risk areas and forecast the likelihood of incidents such as fires, crimes, or natural disasters, enabling proactive deployment of resources. • Design a cloud-connected emergency response system that integrates data from various data sources to coordinate the dispatch of first responders and provide real-time situational awareness. Track 2 – Improve Citizen Engagement and Civic Services • Create a mobile app or web platform that allows citizens to report issues (e.g., potholes, illegal dumping, street light outages) and track the progress of their requests, leveraging cloud-based workflows and AI-powered categorization. • Develop a conversational AI assistant that can help citizens access municipal services, answer questions, and provide personalized recommendations based on their location and preferences. |
| Skills and Tools: | • Advanced Analytics • Cloud Technologies • Full Stack Development • ML Algorithms (LLM, VLM, NLP, Computer Vision etc) • MLOps |
| Deliverables: | (i) Solution proposal in Word or PDF format. (ii) End-to-end code solution hosted on GitHub Repository. (iii) For example, teams are expected to submit the following, but not limited to: a. Model training, testing and deployment, etc. b. Frontend UI design and implementation, API endpoints, workflows orchestration, databases configuration, infrastructure setup, etc. (iv) Final presentation slides in PowerPoint format. |
| Eligibility: | • You must be a full-time student currently enrolled in an Integrated Programme School (e.g. International Baccalaureate / NUS High Diploma), Junior College, Institute of Technical Education, Polytechnic, University (Undergrad) or Full-time National Serviceman (NSF) • 2 – 4 person(s) per team |
| Evaluation: | Huawei’s NAISC mission emphasizes the following two main objectives: 1. Self-regulation among citizens—inspiring proactive behaviors that contribute to public safety and sustainability without relying on constant oversight. 2. Innovative uses of open-source data—transforming raw information into valuable assets that enhance city services and infrastructure. We invite teams to focus on these objectives, exploring how they can drive community-driven change and bring forward new applications for existing data within Singapore’s Smart City framework. * Bonus will be given to teams that implement their solutions leveraging Huawei Cloud technologies (Huawei Cloud credits will be provided). |
| Prizes: | • Potential Internships Opportunities for Top 3 winning teams • Huawei Products for top 1 team |
| Important Dates: | • Meet the partner session / Challenge Announcement – 12 March (AM) • Final Presentation & Award Ceremony – 28 & 29 May |
| Registration: | Registration for Huawei track has closed |
TikTok
| Mission: | Develop a Multimodality Large Language Model or Agent |
| Skills and Tools: | • Model Finetune • Prompt Engineering • Python Programming Language • Any open-source resources or commercial model api to enable the development of the M-LLM or Agents. |
| Deliverables: | (i) One slide of the developed LLM-powered solution, including description of the design architecture. (ii) Video demonstration of the LLM-powered model or agent. (iii) Including a text description that should explain the features and functionality of the project. Text description should also include: a. The relevant problem statement b. Development tools used to build the project c. APIs used in the project d. Assets used in the project, including models and datasets e. Libraries used in the project (iv) Include a link to the team’s public Github repository with README file. You could work towards rebuilding the results of your solution on benchmark. (v) Results of the solution on benchmark. Results are to be obtained by machine’s execution and not by human intervention. |
| Eligibility: | • You must be a full-time student currently enrolled in an University (Undergrad from Y2 and above) or Postgraduate • 2 – 5 person(s) per team |
| Evaluation: | • Score on benchmark • Novelty of the solution • Performance and efficiency of the solution • Presentation |
| Prizes: | • Opportunity for accelerated TikTok internship assessment process for Top 3 winning teams • Cash Prizes for the top 1 team |
| Important Dates: | Meet the partner session / Challenge Announcement – 11 March (AM) Final Presentation & Award Ceremony – 28 & 29 May |
| Registration: | Registration for TikTok track has closed |
Amazon Web Services (AWS)
AI Singapore is partnering with AWS to launch the Regional LLM League for students in ASEAN, focusing on Singapore, Malaysia, Indonesia, Vietnam, the Philippines, and Thailand. The LLM League is a comprehensive program designed to educate and empower individuals, particularly those from underserved and underrepresented groups, in the rapidly evolving field of generative AI. Through this initiative, we aim to equip students from diverse backgrounds with the skills and confidence to build future-ready Generative AI applications.
| Mission: | Develop or fine tune a large language model (LLM) with Amazon Sagemaker Jumpstart, that can outperform a reference LLM model and other competing models in a quiz-based evaluation. |
| Skills and Tools: | Cloud Computing e.g. Amazon Sagemaker / Partyrock. Access and training for Sagemaker / Partyrock will be provided. Students located outside of Singapore can join via Zoom or access the recorded training videos. |
| Deliverables: | A fine tuned or trained large language model submitted for competitive evaluation by deadline. Initial dataset will be provided during training workshops. Other datasets will not be provided. You will need to build your own datasets that can best finetune your LLM model to win. |
| Eligibility: | • For Singapore Students: You must be a full-time student aged 18 or above currently enrolled in an Institute of Technical Education (ITE), Polytechnic, University (Undergrad), or Postgraduate program. • For Students from Other Countries: You must be a full-time student aged 18 or above, currently enrolled in a tertiary institution in Malaysia, Indonesia, Vietnam, the Philippines, or Thailand. • 1 person per team |
| Evaluation: | • Top teams on an open leaderboard with best performing models will be selected for finals. Details of evaluation criteria will be shared during the briefing. • The top team from each country will represent in-person their nation in the Regional LLM League competition at the AI Student Developer Conference in Singapore on May 28 & 29. |
| Prizes: | • Potential Internships Opportunities or mentorship for top winning teams. • Amazon vouchers to be won by top winning teams. |
| Important Dates: | Meet the partner session / Challenge Announcement – 14 March (AM) Physical & Online Final Presentation & Award Ceremony – 28 & 29 May |
| Registration: | Registration for AWS track has closed |
Registration
Please refer to the respective track for its registration link.
More information will be released progressively.
Timeline
National AI Student Challenge 2024
Enquiries
For enquiries, please contact learn-admin@aisingapore.org