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Junkbot

AI Health Guardian

Corporate

Develop an AI-powered health solution that helps with early detection or monitoring of health conditions. For instance, a team could build a smart wearable device that tracks vital signs (heart rate...

AI Health Guardian

Mission Description

  • Real-World Problem: Healthcare systems face pressure from rising chronic diseases and limited medical personnel. In the GCC, lifestyle diseases are a major concern – the UAE has a diabetes prevalence of about 20.7% in adults , among the world’s highest, and Qatar reports similarly high rates. Many cases go undiagnosed until complications arise. Meanwhile, the pandemic accelerated telemedicine and showed the potential of remote monitoring. Both countries are investing in digital health: the UAE was the first to appoint an AI minister and is piloting virtual nurse assistants in hospitals , and Qatar’s Sidra Medicine is exploring AI for diagnostics and personalized care . The challenge is how to leverage tech so that people can get earlier warnings, continuous monitoring, and personalized advice for their health – potentially saving lives with preventive care.
  • Mission Task: Develop an AI-powered health solution that helps with early detection or monitoring of health conditions. For instance, a team could build a smart wearable device that tracks vital signs (heart rate, temperature, activity) and uses an AI model to detect anomalies (like signs of heat exhaustion or irregular heartbeat) – sending alerts to the user or a caretaker. Another idea is a symptom-checker chatbot (multilingual for inclusivity) that asks simple questions and advises if one should seek medical help, serving as a first line of screening. Students will create a prototype: maybe a sensor kit with a mobile app dashboard, or a chatbot demo with AI.
  • Key Skills: Artificial intelligence/machine learning (for predictive models), coding (especially Python or app development), IoT hardware integration (for wearables or sensors), data analysis (health data patterns), basic understanding of healthcare needs.
  • Expected Impact: The AI health solutions aim to catch problems early and expand healthcare access. For example, a smart health band could warn a construction worker of heat stress before a collapse, or an AI chatbot could urge a user to get tested upon detecting diabetes risk factors. Early interventions can reduce the burden on hospitals and improve quality of life. This mission aligns with the region’s vision for high-tech healthcare: the UAE’s healthcare providers are adopting AI to enhance diagnostics and patient monitoring , and Qatar’s vision includes world-class healthcare as part of its human development pillar. By deploying AI and IoT for wellbeing, students contribute to a future where healthcare is proactive, personalized, and accessible – a key outcome for national development by 2030

Student Goal

Develop an AI-powered health solution that helps with early detection or monitoring of health conditions. For instance, a team could build a smart wearable device that tracks vital signs (heart rate, temperature, activity) and uses an AI model to detect anomalies (like signs of heat exhaustion or irregular heartbeat) – sending alerts to the user or a caretaker. Another idea is a symptom-checker chatbot (multilingual for inclusivity) that asks simple questions and advises if one should seek medical help, serving as a first line of screening. Students will create a prototype: maybe a sensor kit with a mobile app dashboard, or a chatbot demo with AI.

Mission Information

Status
Open
Deadline
December 31, 2025
Category
Corporate
Grade
Rewards
Recognition, Internships, Prizes

Presented by

Junkbot

Junkbot

UAE

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