CUDI SafePay is a decentralized, private micropayment system designed to empower creators, journalists, and NGOs, enabling them to receive direct support from their audiences without intermediaries or censorship. Our goal is to make digital finance globally accessible and eliminate the barriers of traditional platforms that impose high fees (2.9%–3.4%) and compromise privacy. At the heart of CUDI is Bulut, an Artificial Intelligence (AI) agent that transforms the complexity of the blockchain into a simple, conversational experience. Using the AI/ML API, Bulut translates natural language commands ("Pay 15 USDC to @FreeJournalist") into structured blockchain instructions (JSON). Execution takes place on the Arc Blockchain, with USDC as the native gas. Thanks to integration with the Circle Developer-Controlled Wallets SDK and its Paymaster feature, we guarantee gas-free transactions for the end user. Furthermore, adoption is simplified by eliminating the need for seed phrases and managing access via PIN and biometrics. CUDI SafePay offers the first smart, censorship-resistant, and frictionless payment solution

Xía is your AI-powered cofounder, designed to accelerate the early stages of launching a startup. It helps non-technical founders bring their ideas to life by generating product plans, investor emails, competitor analyses, and structured task lists — all through a simple, chat-based interface. With Xía, users can go from idea to execution without needing a team of experts. Whether you're drafting your MVP roadmap or crafting a pitch to investors, Xía provides intelligent suggestions tailored to your startup’s vision. Our goal is to empower solo entrepreneurs to launch faster, smarter, and with confidence — all from a single platform.

Our project leverages a client-server model, using Flutter as the client-side application and Streamlit as the server-side platform. The Flutter app is responsible for collecting real-time network performance data such as latency, packet loss, bandwidth, and other key metrics directly from the user's device. This app serves as the interface for the end user, providing a simple and intuitive dashboard for monitoring their network health. On the other hand, Streamlit acts as the server-side component, where the collected data is sent for processing and analysis. Through Streamlit, we integrate AI algorithms to analyze network performance, detect potential issues, and provide actionable recommendations. The AI model helps to predict and troubleshoot network problems before they affect service quality. Streamlit also handles data visualization, presenting the results to the user in a clear and insightful way. This architecture is powerful because it separates the responsibilities of data collection and analysis, allowing for a flexible and scalable solution. Flutter ensures that the user has a seamless experience, while Streamlit handles complex computations and provides robust backend support, making the entire system efficient and easy to scale. By using Flutter and Streamlit together, we provide a complete solution that enhances connectivity management, specifically for public sector institutions such as schools and health centers in underserved regions.

Our project is an application designed to enhance network security through real-time monitoring and intelligent threat detection. Our app analyzes network connections to identify suspicious activities and potential threats. Users receive immediate alerts categorized by severity—recommendations, warnings, and critical alerts—along with actionable advice to mitigate risks. BreoLan also offers features such as a detailed dashboard, security insights, and user authentication to ensure comprehensive protection. Leveraging advanced machine learning algorithms, our app continuously learns and adapts to new threats, providing robust defense mechanisms.

🚀💻 Be the first to build an AI App on Google's models! Hackathon on July 7-10. 🔬🌐 Try new Vertex AI features from Google Cloud Platform. 🤝🌍 Learn from AI leaders and connect with like-minded people. 🛠️📱 Build apps with the world's best AI tools! 💡🌍 Solve real-world problems with Generative AI models

👅 Generate realistic, captivating speech in a wide range of languages 🗓️ Join an exciting 3-day online hackathon from July 28 - 31 💡 Get full mentors support at lablab.ai platform 👥 Form Solo or Build Your Team 🐱‍💻 Registration ends on July 28th morning, so don't miss out! Sign up Now!

• 🕒 24 hours of commitment • 🤝 Take part alone or form a team with other participants • 🚀 Learn to create your own basic app with CustomGPTs, or try the open-source alternative from LangChain • 🧑🏻‍💻 Even without coding knowledge, you can easily create your own GPT. However, if you're familiar with coding, you can leverage it to enhance your custom GPT and take it to new heights of performance