Fazeel Ahmed Khan@fazeel_ahmed

There are 3 main components of any Ad you see online: the buyer, the seller, and the exchange. Amazon, Meta, Google and more all have billion dollar tech stacks built to serve this transaction and they work really well for the top 20% of users. For the rest of the normal buyers and sellers, the majority, we’re left to fight for the scraps Vertex essentially uses the same components: a buyer, a seller and an exchange as everyone else with a few key differences: 1. We unify the Ad stack for both Buy and Sell Side Current billion dollar platforms like Google, Meta, etc. all extract value at every step and truly advanced ad tech adds even more costs. As mentioned this works pretty well for the top 20% of advertisers and publishers but maybe not so well for the rest of us. Vertex unifies the stack and with nanopayments we are able to charge fees that are a fraction of current models. 2. We execute Sub-Cent Settlement in Real-Time with no Gas Fees Nanopayments are executed in real-time once the auction is won and the ad served. This solution would fail with traditional gas costs because though small in absolute terms gas costs would be a large percentage of each transaction as the winning bids in Programmatic Ad auctions are at the sub-cent level already and thus at scale gas fees would be prohibitively expensive. 3. With Automation we enable even basic users to access the same RTB auction pricing/scale for digital ads as major Advertisers and Publishers. Another major barrier to entry in running Digital Ads is the complexity. DSPs, SSPs, Exchanges, DMPs, Ad servers, Tagging, etc. the whole process can be a lot for even the expert user. With AI technology we are able to simplify this process to a point where any user can explain in real terms what ads they want to run or what ad space they want to sell and with a few prompts to fill in any missing information they can have agents buying or selling ads in real time on our exchange across the entire Open Internet.

Our project is an AI-powered compliance analysis system that leverages Coral v1 and the Mistral AI API to evaluate GitHub repositories for domain-specific rules and regulations. The system is designed with a modular architecture consisting of a frontend, backend, and intelligent agents that work together seamlessly. The frontend allows users to input a GitHub repository URL, which is then processed by the backend and routed to specialized agents. These agents, in collaboration with the Fire-Crawl agent, extract the repository’s structure, metadata, and domain-relevant information. The results are compiled into a detailed compliance report, ensuring accuracy, efficiency, and adaptability across various domains.

- Photogrammetry Processing: Automatically processes drone images to create orthomosaic maps. - Modern Image Alignment: Uses edge detection, feature matching, and static point analysis for precise image placement. - Interactive Map Visualization: Displays processed images as overlays on interactive maps using Folium. - Multi-Resolution Tiling: Supports efficient map rendering at multiple zoom levels. - Performance Optimizations:Utilizes parallel processing and optimized image handling for large datasets. - Customizable Overlays: Enhanced overlays with popups, markers, and custom CSS for improved user experience. ## Usage - Upload drone images via the web interface. - Start photogrammetry processing from the dashboard. - View the generated orthomosaic and overlays on the interactive map. Key Technologies - Python, Django for backend and web framework - OpenCV, NumPy, Pillow for image processing - Folium** for map visualization - Concurrent Futures for parallel processing Advanced Techniques - Edge-based and Feature-based Alignment: Ensures accurate image stitching using Canny edge detection and ORB/SIFT feature matching. - Static Point Analysis: Fine-tunes image placement by analyzing overlapping features, similar to panorama stitching. - Multi-Resolution Tiles: Generates smaller, optimized PNG overlays for efficient map loading.

Welcome to the Space Chatbot Web Application—your interactive gateway to exploring our solar system, expanding your space knowledge, and staying up-to-date with current space news. In this application, users can navigate through a digital replica of the solar system and click on individual planets to learn about their unique characteristics, historical missions, and intriguing facts. At the heart of the platform is an AI assistant designed to answer all your space-related queries. Whether you're curious about astronomical phenomena, recent mission updates, or the latest in space technology, our chatbot is ready to provide clear, informative responses. This feature makes the application an excellent tool for students, educators, and enthusiasts alike. Additionally, the application boasts a dynamic "Picture of the Day" section. This area highlights a captivating image paired with a current news update related to space, ensuring that users are continually informed about the latest developments and discoveries in the field. Beyond exploration and AI-assisted learning, the web application offers interactive educational modules and quizzes. These features are designed to engage users and encourage a deeper understanding of space topics in a fun, accessible way. Experience a seamless blend of exploration, learning, and real-time updates—all from your browser. Whether you're embarking on a journey through the solar system or seeking answers to your burning space questions, our platform is here to fuel your curiosity and bring the wonders of space closer to you.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!

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.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (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 January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!