Varsity Hackathon (V HACK) is one of the largest student-led international hackathon competitions. Organised by the Computer Science Society of Universiti Sains Malaysia (USM), it serves as a high-stakes arena for local and international undergraduates to bridge the gap between academic theory and industry reality. Participants are challenged to engineer innovative solutions to real-world problems in alignment with the fast-evolving landscape of global technology.
More than just a coding competition, V HACK is a catalyst for breaking boundaries. We invite students from all disciplines to discover the power of rapid prototyping and collaborative problem-solving. By working alongside global professionals, participants enhance their technical mastery while gaining invaluable exposure to diverse global issues and modern case studies. This experience not only expands professional networks through connections with like-minded innovators and recruiters but also remains highly accessible. The 2026 edition continues our commitment to accessibility, featuring a hybrid structure with online preliminary rounds and an intensive physical grand finale, ensuring a world-class experience for participants regardless of where they are.
Varsity Hackathon 2026 returns with an ambitious vision to push the envelope of digital transformation. As Artificial Intelligence reshapes our world, this year’s competition focuses exclusively on the three pillars of the AI frontier. We challenged you to build solutions that are not just "smart," but autonomous and linguistically sophisticated.
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Machine Learning (ML): The Foundation of Intelligence
This pillar centres on predictive modelling, pattern recognition, and deep learning. Participants will turn raw data into actionable insights, solving complex problems in fields ranging from healthcare diagnostics to financial forecasting.
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Agentic AI: The Next Step in Autonomy
Moving beyond static chatbots, this focus area explores the world of AI agent systems capable of reasoning, using tools and taking independent action. We are looking for workflows where AI acts as a collaborator that can plan and execute multi-step tasks.
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Natural Language Processing (NLP): The Bridge Between Human and Machine
In the era of Large Language Models (LLMs), this area focuses on advanced text understanding, multi-lingual translation, and sentiment analysis. Challenge yourself to create seamless, human-centric interfaces that make technology more accessible than ever before.
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