Atikah Qaisar@Aati

AI Olympics Agent is an AI-powered sports intelligence platform designed to provide real-time research, analytics, and decision-making support for the sports industry. The system uses advanced AI models and autonomous agents to collect, process, and analyze sports data from multiple sources. It helps teams, coaches, analysts, and organizations gain valuable insights about player performance, match statistics, strategies, and trends. The platform features an interactive dashboard, automated reporting, predictive analytics, and smart recommendations that improve performance analysis and strategic planning. With a modern and user friendly web interface , the project demonstrates how AI can transform sports management and research through automation, accuracy, and real-time intelligence.

Bob The Builder uses IBM Bob as an AI research engineer to auto-optimize CIFAR-100 image classifiers. Bob runs 30 systematic experiments testing learning rates, batch sizes, optimizers, dropout, batch normalization, weight decay, and data augmentation. Each iteration, Bob changes one hyperparameter, trains the model for 10 epochs, reads the accuracy, compares with best result, commits improvements with Git, and rolls back failures with Git reset. A Streamlit dashboard shows real-time progress. Baseline accuracy was 40.43%. Bob achieved 44.67% - a 4.24% improvement. Batch Normalization was the winning change. Dropout, weight decay, and SGD optimizer all failed. Bob proved that simplicity wins for CIFAR-100. All code is on GitHub. All 30 experiments are logged.

Pay As You Learn is an AI-powered education platform designed to make quality learning accessible and affordable for everyone. Traditional learning platforms require upfront payments, which can be a barrier for many students. Our solution removes this limitation by introducing a flexible, performance-based payment model where users pay gradually as they progress through their courses. The platform uses intelligent AI tutors to provide personalized learning experiences, track student performance, and adapt content based on individual needs. By combining smart automation with outcome-driven pricing, Pay As You Learn ensures that students only pay for the value they receive, creating a fair, motivating, and inclusive learning environment.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.