Zeeshan Arif@ziix

It discovers schools that need intervention, by showing it on the map with colour code This project aims to develop a web application using Streamlit to analyze school connectivity data. It integrates geolocation and network measurement datasets to identify schools with poor internet connectivity, areas with excess bandwidth, and regions experiencing network failures. The app will provide insights using color-coded maps, highlighting schools needing urgent support and estimating the cost of improvements. Users can easily access reports and recommendations, enabling stakeholders to make data-driven decisions to improve internet access in schools.

🕒 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!

🔍Create AI-driven solutions using open-source technologies to optimize public sector network management—planning, procurement, and maintenance—for scalable, sustainable school connectivity in underserved regions. 📅 Join us January 24-26: Participate online or in person in Geneva to develop innovative solutions with peers globally. 👨‍🏫 Work alongside industry mentors for insights and guidance on your projects. 🏆 Compete for a chance to join the Lablab NEXT incubator program! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!