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2.9.2

Chidinma_Ahunam

Chidinma Peace Ahunam@Chidinma_Ahunam

1

Events attended

1

Submissions made

Nigeria

1 year of experience

About me

I am very passionate about health care and interested in Machine learning and blockchain integration for solving fragmented health data availability in LMICs.

Socials

🤝 Top Collaborators

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Danish Mustafa

Founding Software Engineer || Startup Builder & AI Innovator || Trainer @SMIT || Stanford SL || Int’l Hackathons @lablab.ai || Harvard CS50x Puzzle Day || UC Berkeley, AOC & Calico Coding Challenges || LeetCode 440+

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MASUD NDATSU

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marcell haze

Hello. I'm looking for work as a UX designer and I've previously completed a Front End bootcamp. I've mostly worked in IT but have a degree in Art&Design. I mostly work with tools like Figma, but also HTML, CSS, and Javascript

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Yawar Munir

PhD Aspirant | Section Leader @ Stanford Code in Place | Moderator @iCodeGuru | 5+ int. Hackathons | 105 LeetCode | Science Teacher Proficient in a wide array of programming languages and technologies, including JavaScript, jQuery, Bootstrap, Python, PHP and SQL.

🤓 Latest Submissions

    HealthChain Pioneers

    HealthChain Pioneers

    At HealthChain Pioneers, we aim to improve Hawaii's healthcare system. Our approach is to address the problem of fragmented health data availability by integrating blockchain and machine learning technologies. While our immediate focus is on improving data integration and accessibility within Hawaii's healthcare system, our end goal is to offer scalable solutions that can be applied in LMICs like Nigeria, where access to health data remains a significant challenge. Blockchain provides secure, transparent, and tamper-proof data sharing, ensuring trust and interoperability across healthcare systems. Machine learning, on the other hand, unlocks the power of predictive analytics, enabling real-time insights into disease trends, resource allocation, and patient outcomes. To further enhance participation and sustainability, tokenization introduces a revolutionary model of incentivized data sharing. where healthcare institutions are incentivized to contribute valuable data. By earning digital currency tokens, institutions can access funding streams to improve infrastructure, especially in under-resourced areas. This combination of blockchain, machine learning, and tokenization creates a powerful, scalable solution to revolutionize global healthcare, starting from Hawaii to LMICs like Nigeria.

    Hackathon link

    11 Dec 2024

👌 Attended Hackathons

    Lokahi Innovation in Healthcare

    Lokahi Innovation in Healthcare

    🕒 2 days to dive into this transformative healthcare technology challenge! 🏝️ Join us onsite in Honolulu, Hawaii for an exciting hybrid hackathon experience! If you can't be with us in person, no worries—you can still participate and contribute online. 💡 Leverage AI, data analytics, and cloud computing to create innovative solutions that improve healthcare outcomes in Hawaii and beyond. 🤝 Compete solo or team up with diverse healthcare, tech, and academia innovators. 🏆 Stand a chance to win amazing prizes and make an impact!

📝 Certificates

    Lokahi Innovation in Healthcare

    Lokahi Innovation in Healthcare | Certificate

    View Certificate