AI Open Innovation Challenge 2026
The Challenge
Participants are tasked with identifying a pressing issue within their chosen category and developing an AI-driven solution. The project would demonstrate scalable and impactful outcomes aligned with a real-world social impact areas.
The AI Open Innovation Challenge 2026 is designed as a national platform for collaboration between academia, industry, and professionals to address business challenges using an AI approach. The event will take place from February to August 2026 in Jakarta and at the President University Campus in Cikarang, covering stages ranging from proposal collection to showcase and awarding. This challenge brings together innovative ideas with real industry needs through the application of AI that can generate models, prototypes, and business analytics solutions. The purpose of this activity is to build strategic collaboration among stakeholders and encourage AI-based innovation that has a direct impact on efficiency, productivity, and sustainability in various industrial sectors in Indonesia.
Eligibility Criteria
Form a team of up to 3 - 5 members to participate in this journey
SMA/SMU/SMK
- Student with 15 - 18 years old from SMA/SMK.
- Team consist of 3 - 5 members.
- Mixed grade within 10 - 12 allowed.
University & Public
- 19–28 years old.
- Team consist of 3 - 5 members.
- Cross major welcome.
Competition Categories
Choose your domain of expertise and showcase how AI can transform that specific sector.
Healthcare
Enhance laboratory precision and workplace safety through automated microbiology counting, PPE compliance monitoring, and AI-driven analytics for quality testing and regulatory recommendations.
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Manufacturing
Boost operational excellence with PT Kerry and PT Reckitt Benckiser by deploying AI-based root cause analysis and predictive maintenance to minimize downtime.
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Logistics
Drive sustainable supply chains with Blibli, Cikarang Dry Port, and PT Kawan Lama using AI-powered green logistics, OCR for customs, and smart warehouse systems.
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Waste Management
Optimize urban sanitation by implementing AI-based transportation monitoring and historical data modeling to accurately predict waste volumes.
Traffic Management
Modernize urban mobility through adaptive traffic signal control (ATCS), intelligent enforcement, and AI-optimized connectivity for public transit systems.
Why You Should Join
Boost your career, build your network, and win amazing prizes
Competition Timeline
Mark your calendars for these important dates
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