Now on its second year, the Ericsson Hackathon 2025 is a collaboration between Ericsson, Ministry Communication and Digital, and Qualcomm.
The Hackathon focuses on 5G and AI-based solutions to accelerate digital transformation in Indonesia’s manufacturing, mining, agriculture, and trade sectors. The Hackathon aims to foster Indonesia’s next generation of digital talent and strengthen the digital economy in support of Indonesia Digital Vision 2045.
In this year’s edition, The Hackathon emphasizes the development of AI- and 5G-powered solutions using Qualcomm-based chipset devices such as Edge computers/Laptops, AR/VR headsets, IoT sensors, and robotics kits.
Building on the success of the 2024 hackathon, this year’s edition expands its reach by engaging more participants, focusing on a broader range of industries and additional global and Indonesian partners.
The hackathon is open to innovators, developers, startups, and academia aiming to address real-world challenges using 5G and AI technology.
The 2025 Hackathon aims to accelerate innovation in Industry by addressing real-world challenges in Industry 4.0 through advanced AI-driven solutions, powered by ultra-fast, low-latency 5G connectivity. Co-led by Qualcomm as the main sponsor and Ericsson as a key enabler, the program will provide participants with access to Qualcomm’s AI expertise while leveraging Ericsson’s leadership in 5G and digital industrialization.
In collaboration KOMDIGI, the Hackathon seeks to empower developers, startups and academia to build solutions that transform traditional manufacturing through:
- Seamless 5G connectivity: enabling real-time data exchange, machine-to-machine communication, and edge processing, with support from Ericsson’s 5G infrastructure and expertise.
- Generative AI capabilities: including multi-modal learning, simulation, and optimization using Qualcomm’s AI platforms.
- Industry-relevant use cases: aligned with current pain points such as:
Operational inefficiencies
Predictive maintenance
Quality assurance automation
Workforce safety monitoring
Adaptive supply chain systems
The hackathon is open to:
- Startups, students, and professionals (18+).
- Startups: Must be in the early stages.
- Students: Must be currently enrolled at an accredited university or educational institution.
- Teams must consist of 3 to 5 participants, with a maximum of 5 members per team. Each team should aim to include a mix of roles such as
- Hacker: Developers or technical experts.
- Hustler: Business roles such as entrepreneurs or project managers.
- Hipster: Creative roles such as UI/UX designers or marketing experts.
- Note: Having more than one person per role is allowed, as long as all roles are filled within each team.
Diverse skills and backgrounds within each team are highly encouraged, including:
- A balance of technical, creative, and business expertise for a well-rounded approach.
- Diversity in perspectives and experiences, such as gender, culture, and professional backgrounds, to foster innovative thinking.
Teams can be formed beforehand.
Some examples of what we would like to see participants to prototype include:
- Predictive maintenance solutions using edge AI on Qualcomm chipsets
- Computer vision for defect detection in real time via 5G uplink
- Autonomous robotics powered by Qualcomm SoCs with 5G command and control
- Dynamic supply chain systems integrating AI decision engines with 5G data feeds
Ultimately, the 2025 Hackathon is not just a competition—it is a collaborative platform to demonstrate the transformative potential of AI and 5G in manufacturing, build capacity for future tech leaders, and position Indonesia at the forefront of industrial innovation in Southeast Asia.
Participants should ideally build their solutions using Qualcomm-powered platforms and devices, however, any solution that uses 5G connectivity, IoT, and AI or any combination of these technologies would be of interest to us.
Examples of Qualcomm devices that you could consider using include:
- Qualcomm Laptop with AI capable chipset
- Snapdragon-based AR/VR headsets
- IoT modules with Qualcomm chips
- Edge AI development kits, Qualcomm AI Hub
Purpose: Participants will be provided with a list of problem statements currently faced by the different sectors of industry in Indonesia. These statements serve as a reference point for participants to develop solutions using 5G, AI, and Gen AI technologies.
Flexibility: While participants are welcome to use the provided problem statements, they are encouraged to propose their own if desired. Custom problem statements do not need to be based on the provided list but should align with the overall theme of addressing industry challenges.
The following table outlines key challenges and opportunities in the different industry sectors. Participants can use these as a guide or inspiration to develop their own solutions.
| Sector | Problem Statement | Solution via 5G & AI |
|---|---|---|
| Industri Pengolahan (Manufacturing) | Lack of real-time data across production lines High downtime due to reactive maintenance Manual quality inspection limits scale and speed Inefficient supply chain coordination across factories |
Use of 5G-enabled IoT sensors and AI dashboards for real-time process monitoring AI-powered predictive maintenance with 5G data transmission Computer vision and AI models for automated quality control 5G-connected digital twins and AI for supply chain synchronization |
| Perdagangan (Trade/Commerce) | Inability to track inventory and shipments in real-time Poor customer insight and demand forecasting Limited automation in warehouse and logistics Fragmented online-to-offline commerce systems |
5G-connected RFID and GPS for real-time inventory and delivery tracking AI-driven customer analytics and demand forecasting tools 5G-enabled robotics and AI for warehouse automation Integrated platforms supported by 5G for seamless online and offline commerce |
| Pertanian (Agriculture) | Low crops yield due to generic irrigation and fertilization Farmers lack access to timely weather and pest information Manual crop monitoring over large land areas Supply-demand mismatch due to weak market data |
Precision farming using AI-guided irrigation and fertilization with 5G-connected sensors AI models integrating weather/pest data for early warning, delivered over 5G Drone surveillance and AI image recognition over 5G for crop health monitoring AI-based market analysis to align planting cycles with market demand |
| Pertambangan (Mining) | Worker safety risks in hazardous and remote environments Limited real-time visibility of operational machinery High energy use and emissions with no AI optimization Environmental violations due to lack of predictive monitoring |
Autonomous and remote-controlled equipment via 5G to reduce human exposure 5G-based real-time telemetry and AI for operational monitoring AI energy optimization systems with real-time 5G data feeds Environmental sensors and AI analytics for predictive compliance monitoring |
| Konstruksi (Construction) | Poor site coordination between workers, suppliers, and planners Safety incidents due to lack of real-time monitoring Project delays from inaccurate forecasting and manual planning Limited use of digital twins or smart inspections |
5G-based collaboration tools and digital construction platforms Wearables and smart cameras over 5G to detect and prevent safety hazards AI-powered project planning tools with real-time 5G updates Use of drones, 3D scanning and AI for smart inspections and digital twins |
| Automotive Component Manufacturing | Data automation from welding robots and stamping machines cannot be integrated in real-time into ERP systems. The time sync between the machine (PLC) and the ERP server is still not uniform; Further studies are needed on the use of IoT Gateways, open-source software, industrial PCs, as well as algorithms from backend to frontend. The material handling process is still traditional and has the potential to be automated using Autonomous Mobile Robots (AMR). The production planning and component picking processes are still not automated |
5G-enabled robotics and AI automation for stamping machine integration 5G-connected digital twins and AI, IoT, for time synchronization 5G-enabled robotics and AI automation for material handling AI-driven product planning and component picking process tools |
| Food Manufacturing Company | Portioning toppings: still manual due to SKU variations and fluctuating demand volumes. Check weigher: used for weight validation, data can be retrieved via USB, not yet real-time. X-Ray: as a QC tool for foreign objects, also with alarm and data via USB. Labeling & label checking: still manual. Wrapping, sealing, carbonizing: some using machines, some manual (labels & cartons). Storage: Storage in cold storage -18°C, temperature monitoring is done with local sensors and Arduino-ESP for remote. Energy Monitoring: Not yet real-time. Still based on billing consumption and divided per kilogram of output. Plant connectivity still uses radio frequency for data communication. |
Private 5G + edge-AI vision to guide cobots/dispensers with per-SKU models; link to MES/forecast so portion size & speed auto-adjust → lower giveaway, higher throughput. 5G IIoT gateway streams weighcell data to MEC; SPC/CPK analytics with drift alerts; auto-reject signal back to PLC; e-records for traceability. 5G uplink for X-ray images/telemetry; edge-AI foreign-object classifier with severity scoring; hold/release workflow into QMS/LIMS; lot genealogy tagging. 5G-connected print-and-apply + edge OCR/OD to verify SKU/date/allergen; instant reprint on fail; write-back to MES/ERP to close the loop. 5G URLLC to PLCs/cobots; recipe-driven auto-changeover; thermal camera + AI for seal integrity; predictive maintenance on sealers (vibration/temp). Battery-efficient 5G RedCap sensors (or BLE→5G gateways) for temp/door; edge rules & digital twin of rooms; HACCP alarms; pallet RTLS for FEFO picking. 5G smart meters per line; edge model for kWh/kg with anomaly detection; AI optimizer for compressors/defrost; PV/gen integration to cut peak. Private 5G SA with QoS slices (motion/vision vs IT), Wi-Fi 6 for office; zero-trust onboarding; OPC UA/MQTT data fabric; rugged 5G CPE for machines/AGVs. |
| Medical Device Manufacturing Company | Although Solomon ERP (Microsoft Dynamics SL) was once a powerful ERP solution for project-oriented companies, companies still using it need to plan a transition to a newer system due to the "sunset" status of planning and scheduling processes, which require updating to Microsoft Dynamics 365. The solar PV installation initiative is not yet equipped with an energy management system. Smart products need to be equipped with real-time shopfloor data by considering MES solutions in the production process so that small goods delivery and warehouse problems can be overcome. Robotic data needs to be pulled to obtain maintenance data information. |
Private 5G + data fabric to collect shop-floor signals during cutover; integrate D365 Supply Chain/Manufacturing via OPC UA/MQTT; enable eDHR & CFR 21 Part 11 audit trails. 5G IIoT gateways on machines/inspection; edge normalization (ISA-95 tags) → MES → D365; real-time WIP/OEE; auto non-conformance tickets in QMS (ISO 13485/GAMP 5). 5G RTLS (UWB/RFID) for bins/totes + vision-based pick verification; MES-orchestrated e-Kanban; 5G-connected AGVs with dynamic routing; RFID gates for cycle counts. 5G telemetry from robots/PLCs (torque, cycles, temps) to edge; ML remaining-useful-life models; auto-plan PM in CMMS/EAM; AI-assisted spare-parts suggestion. |
Criteria: Solutions will be evaluated based on criteria such as innovation, feasibility, impact, scalability, and presentation.
- Innovation:
- The extent to which the solution demonstrates creativity, originality, and novel approaches to addressing manufacturing challenges using AI.
- Innovative features or functionalities that distinguish the solution from existing approaches and technologies in the field of smart manufacturing.
- Feasibility:
- The practicality and feasibility of implementing the solution within real-world environments, considering factors such as technical complexity, resource requirements, and compatibility with existing systems.
- Clear evidence of technical feasibility, including the availability of necessary resources, technologies, and expertise to develop and deploy the solution effectively.
- Impact:
- The potential impact of the solution on addressing pain points and improving operational efficiency, productivity, quality, and sustainability.
- Quantifiable metrics or indicators demonstrating the expected benefits and outcomes of implementing the solution, such as cost savings, time efficiency gains, waste reduction, and environmental impact.
- Scalability:
- The scalability of the solution to different manufacturing contexts, industries, and organizational scales, without significant loss of performance or functionality.
- Evidence of scalability through modular design, flexible architecture, and the ability to adapt to changing requirements and scale operations as needed.
- Presentation:
- The clarity, effectiveness, and professionalism of the presentation delivered by the team, including the structure, content, visual aids, and delivery style.
- The ability to articulate the problem statement, solution approach, key features, benefits, and potential impact of the solution concisely and persuasively to the audience.
Teams are expected to submit:
- Pitch Presentation: Focus on the market potential and feasibility, especially for startups.
- Demo Video: 2–3 minute video showcasing the solution.
- Minimum Viable Product (MVP): A working prototype (optional).
- Source Code: Hosted on a platform like GitHub (optional).
- Submission Deadline: All projects must be submitted by 11:59 PM (GMT+7) on October 24, 2025. Submissions after the deadline will be disqualified.
The Ericsson Hackathon 2025 features a series of events designed to guide participants through their journey, from initial preparation to final presentations. Detailed agendas and program updates will be shared with registered participants closer to the event dates.
The mentors and judges will be a shared group of global and local industry experts and representatives from the Hackathon's organizing bodies and partner companies, providing both guidance during the event and evaluating the final projects.
Participants will have access to mentoring sessions focused on developing technical, design, and business skills. These sessions will help participants refine their solutions and gain insights from experienced professionals.
- Tools & Platforms: Any programming language or platform is allowed, with encouragement to use sponsor-provided technology.
- Original Work: Projects must be developed during the hackathon. Participants may use existing code, libraries, or frameworks, provided they clearly explain their use in the submission.
- Open Source or Proprietary: Teams can choose between open-source or proprietary solutions, depending on their project goals. Startups should consider scalability and intellectual property (IP) protection when making their choice.
- Ownership: Participants retain full ownership of their solutions unless otherwise stated. Startups must clearly define their intellectual property (IP) rights if they wish to commercialize their solutions after the hackathon.
- After the Hackathon: Sponsors may request a license to use the winning solutions for promotional purposes or further development.
Role as Head of Network Solutions Indonesia. Accomplished key account CTO and solution lead with more than 15 years in the telecommunication industry. Secured strategic 4G/5G RAN business for all 3 major accounts in Indonesia, leading the solution in the most complex deals and solution, recent example on CSPs network consolidation. Special experience on successful trial project in early and pre-commercial 5G deployment as a solution responsible in the largest account in Australia.
Act as a Network solution domain responsible for Indonesia, leading team of solution expert in RAN and Transport. Engage in cross-domain function team which spans across product, services and delivery. Experienced as an advisor to the customer CTO by successfully building credibility in technology masterplan development, customer experience improvement, product portfolio strategy, and award-winning cost/GB initiative.
Zahra Damariva has over six years of experience at Impactto, where she plays a key role in driving digital transformation through technology innovation and strategic collaboration.
She oversees the day-to-day operations of Impactto, an Indonesia-based consulting firm specializing in tech-driven market alignment. With a background in Media Studies, Zahra possesses strong expertise in applied research and project management for digital innovation initiatives. Her professional experience spans both government and private sector projects, reflecting her exceptional organizational capabilities and commitment to advancing purpose-driven innovation.
Mirza Pahlevi is currently a Head of Collaboration PR and partnership at UMG Idealab Indonesia (50 start up under
management with 70+ mio USD invested). Mirza Pahlevi brings experience from previous roles at PT Hasmanta Mulia Darma, Indonesia Center for Technology Empowerment and PT eMusic Indonesia. Mirza Pahlevi holds a Master's degree in Aerospace, Aeronautical and Astronautical Engineering @ Delft University of Technology.
Mirza also experienced on 2 national car project (Maleo and Timor) , dredging (PT Garumas Persada, Fortuna) and renewable energy (PT Nusantara Bio Energy), product design and EPC (PT Repindo Pusperra) complement the industry spectrum covered.
Kameswara M. Rafi Al Fath is a professional with over four years of experience in startups and technology-based startup accelerator programs. He currently serves as Project Manager at Startup Studio Indonesia, an initiative of the Ministry of Communication and Informatics of the Republic of Indonesia that focuses on helping early-stage startups achieve product-market fit and connect with the global ecosystem. Previously, Kameswara served as Project Manager at Impactto, a collective platform that supports startups and government entities in creating sustainable business breakthroughs in the digital economy era.
Ray Tung is a Staff Engineer at Qualcomm Technologies, Inc., focusing on AI integration and deployment
across IoT, mobile, AI PC, and cloud platforms. As part of the Qualcomm Innovate in Taiwan Challenge (QITC), he works closely with startup teams to incubate their ideas, helping them integrate Qualcomm AI Hub models, complete proof-of-concepts (PoCs), and showcase their solutions in the final competition. Through these initiatives, Ray supports the growth of the AI ecosystem and empowers developers to bring innovative, edge-optimized AI applications to market.
Telco Expert, and Technology Enthusiast, bringing 22+ years of Telco experience to the table. As the Vice President Technology Strategy and Consumer Product Innovation at Telkomsel, he has played pivotal roles in Future Network Project and Network Cloud Development and Operations, making a significant impact on the telecommunications industry.
Kartikey Rawat is a Senior Developer Advocate at Qualcomm, focused on enabling innovation in Edge AI and
multi-modal applications. He leads developer outreach across India and APAC, supporting communities through hackathons, workshops, and technical enablement. Kartikey actively contributes to Qualcomm AI Hub and PyTorch’s TorchExecu-based Android Mobile development, helping developers build optimized on-device intelligence solutions. He has represented Qualcomm at global events including the AI Summit in Bali and is passionate about bridging cutting-edge technology with real-world developer needs.