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Turkey

App Services (Mobile & Web

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Artificial Neural Networks

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Cognitive Services or other AI

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+3

Cyber Security, Machine Learning, Python,

Our team is led by lliya Dindar, a Computer Engineering undergraduate at Istanbul Nişantaşı University. With strong skills in Python, Machine Learning, Artificial Neural Networks, Cyber Security, and App Development, lliya has delivered over 20 Al-driven projects including advanced Telegram bots and research in Quantum-Classical NLP frameworks. The team's mission is to combine innovation with social impact, aiming to create scalable solutions that improve lives globally.

United States

Machine Learning

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Medical Technology

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Python

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Shaurya's bio: Shaurya is a published researcher with a driven entrepreneurial spirit, turning academic research into highly influential startups. He’s built essential solutions at NASA, the Dept of Defense, and the local city governments. He's conducted research at esteemed universities such as Carnegie Mellon, the University of North Carolina at Chapel Hill, Duke, and North Carolina State University. Through SoberRide, an endeavor of his, he’s driving forward cutting-edge work in intoxication detection through facial and ocular data. Vaibhav's bio:

United States

Internet of Things (IoT

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Machine Learning

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Medical Technology

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+2

Python, User Behavior Analytics,

Bhavik's bio: Bhavik has extensive knowledge in marketing, including website and media development. He has also conducted research at Cornell University using national healthcare datasets for statistical analysis and at Wake Forest University, where he contributed to a project on youth engagement and alcohol abuse prevention, applying SEO communication strategies. Shaurya's bio: Shaurya is a published researcher with a driven entrepreneurial spirit, turning academic research into highly influential startups. He’s built essential solutions at NASA, the Dept of Defense, and the local city governments. He's conducted research at esteemed universities such as Carnegie Mellon, the University of North Carolina at Chapel Hill, Duke, and North Carolina State University. Through SoberRide, he’s driving forward cutting-edge work in intoxication detection through facial and ocular data.

Egypt

Python

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My team consists of software engineers to develop the app and cyber security offensive and defensive teams

Afghanistan

Interest tags have not been selected yet

ALINE. LAVINRÉGIS. LUDMILA. MARCOS. AND SÉRGIO.

India

Android

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Blockchain

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Cryptocurrency

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+3

Javascript, Machine Learning, Python,

We are a group of passionate students from different backgrounds who came together to solve real-world disaster management challenges using technology. While we are still learning, we bring fresh ideas, energy, and dedication to building impactful solutions. - Android Developers: Working on a cross-platform mobile app using React Native (TypeScript) and Kotlin modules, with offline-first support for low-connectivity areas. - Backend Developers (JavaScript/TypeScript): Building a simple but scalable backend with Node.js, Express, and Supabase (PostgreSQL). - AI/ML Learners (Python): Exploring how to use machine learning for multilingual text classification, hazard detection, and emotion-based SOS alerts. - Blockchain & Cryptocurrency Enthusiasts: Learning and implementing smart contracts (Solidity, Polygon Mumbai Testnet) and WalletConnect for transparent donations. - UI/UX & Community Focused Members: Designing easy-to-use, multilingual interfaces and adding features like gamified drills to encourage community participation. Even though we are students, our combined skills in Android, Blockchain, Machine Learning, Python, JavaScript, and Cryptocurrency allow us to tackle both technical and community needs in disaster response. Together, we are building a student-driven disaster intelligence platform that empowers citizens, speeds up emergency response, and ensures transparency in donations and resource use.