Mada Assistive Tech Innovation Challenge
How might we develop an AI-powered assistive recommendation system to provide personalized solutions for individuals with disabilities based on their unique needs and circumstances?
Enhancing Independence with Personalized Assistive Technology Solutions
💡 Your Mission:
Create a cutting-edge assistive recommendation system that seamlessly delivers personalized solutions by combining holistic data, AI-driven matching, and an intuitive, accessible user interface to provide tailored assistive technology recommendations. The system will cover six key categories, including sensory aids, cognitive tools, and mobility solutions.
🚀 Why Participate?
- Make a tangible impact by helping more individuals with disabilities gain access to tailored solutions,
- Showcase your expertise in AI, machine learning, and personalized systems to solve real-world problems,
- Collaborate with leading experts to create a truly scalable and impactful solution.
Be the driving force behind a new era of personalized support, where every recommendation empowers individuals, enhances independence, and unlocks life-changing possibilities. 🌟
Challenge Statement
MADA Center is seeking solution providers to develop an advanced AI-driven assistive recommendation system that enhances the way individuals with disabilities access and utilize assistive technologies.
This solution should leverage AI and machine learning to analyze holistic user assessments—including medical, cognitive, and environmental factors—to deliver personalized, data-driven recommendations. The system should integrate seamlessly across six key assistive technology categories, covering sensory aids, mobility solutions, cognitive tools, and more.
The goal is to streamline the recommendation process, improve accessibility, and empower individuals with disabilities by enhancing their independence and quality of life through smart, adaptive, and inclusive technology.
Opportunities & Incentives
Timeline Overview
Mada Center will review the proposals and identify potential solutions for collaboration. Shortlisted innovators will be notified by the end of June 2025.