Syed Mohammad Ibraheem@IbraheemTech

Climate Policy Maker is an AI-powered platform designed to assist governments, NGOs, researchers, and local communities in creating actionable climate policies. The system integrates LLM APIs with real-time weather and climate APIs to analyze environmental conditions, predict short-term climate changes, and highlight potential hazards such as floods, droughts, heatwaves, or storms. Users can select any region worldwide and instantly receive data-driven climate forecasts, interactive maps, and hazard visualizations. Based on this information, the LLM generates tailored policy recommendations that address local environmental challenges, ensuring decisions are rooted in science and aligned with sustainability goals. One of the key features is the ability to export policies in a professional PDF format, making them suitable for official use by policymakers, universities, or climate organizations. Beyond policy creation, the tool can also be used for urban planning, disaster preparedness, climate education, and sustainability reporting. By combining AI, data visualization, and environmental science, Climate Policy Maker bridges the gap between raw climate data and practical, region-specific strategies to combat climate change.

The world is rapidly moving towards digitization, but millions of schools in underserved or remote regions remain disconnected from the internet. This lack of connectivity limits students' access to information, opportunities, and choices, creating a significant divide in global education equity. To bridge this gap, our team has developed an SchoolBridge that focuses on three primary objectives: 1. Connecting Schools in Underserved Regions: Leveraging advanced data analytics and machine learning, our application identifies schools lacking internet connectivity and prioritizes them based on geographical, socioeconomic, and infrastructural factors. By doing so, it ensures every student has access to online resources, digital tools, and global opportunities for growth. 2. Predicting and Raising Procurement Requirements: The application provides actionable insights for procurement planning, predicting digital infrastructure needs such as servers, routers, and internet bandwidth based on the number of students in each school. This feature simplifies infrastructure provisioning, enabling efficient and cost-effective deployment in underserved areas. 3. Optimizing Network Lifecycles: SchoolBridge enhances the efficiency and sustainability of public sector networks by streamlining their planning, operations, and maintenance. This lifecycle optimization reduces downtime, minimizes costs, and ensures long-term reliability of digital infrastructure.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.