Aqsa Khan@Akhan02

The PRC prototype democratizes space data access via an AI-driven platform. It empowers students, educators, and enthusiasts to explore, understand, and contribute to space science. Core goals include intuitive data access via natural language queries, engaging educational tools, and citizen science participation. The prototype features an AI data retrieval agent (using NLP and a REST API), an interactive educational dashboard (using React/Vue.js and D3.js/Chart.js), and a citizen science portal (with user management and task assignment). The 12-month plan involves R&D, dashboard development, portal creation, and user testing. Expected outcomes: increased accessibility, enhanced education, empowered citizen scientists, and a foundation for future development. The PRC aims to transform space data exploration, making it accessible to all.

🔍Create AI-driven, open-source solutions to optimize public sector network management in critical areas like predictive maintenance, total cost optimization (TOC), and energy efficiency—enhancing public sector networks' scalability, efficiency, and sustainability in underserved regions. 📅 Join us February 28–March 2, 2025: Participate online or in person in vibrant Barcelona, on the sidelines of MWC 2025, to collaborate with peers worldwide and shape the future of public sector connectivity. 👨‍🏫 Work alongside experienced industry mentors who will provide guidance and insights to elevate your solutions. 💰 $5,000 prize pool for the winners! 🏆 Compete for a chance to join the lablab NEXT incubator program! 🧑🏻‍💻 Don’t wait! Sign up now to secure your spot before the Kick-Off!

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🕒 2 days to innovate and build groundbreaking applications using the latest generative AI tools 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 🏆 Win an opportunity to participate in the Lablab NEXT acceleration program. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!