Zahid hasan@Zahi49

Prompt Pay is a real-time per-API monetization system built for the Agentic Economy using Arc’s nanopayment infrastructure. It allows developers to charge as little as $0.001 per AI API call, with instant onchain settlement in USDC. Traditional API monetization models fail due to high gas fees, making microtransactions unprofitable. Prompt Pay solves this by leveraging Arc’s feeless or ultra-low-cost transaction system, enabling true pay-per-use economics for AI services and machine-to-machine interactions. The platform includes a test wallet system, per-call pricing enforcement, real-time transaction logs, and a bulk testing environment to simulate multiple API calls. Each request is only processed after successful payment confirmation, ensuring a secure payment-first access model. This project demonstrates how AI APIs, agents, and digital services can operate under a scalable microtransaction model. It highlights the future of decentralized monetization, where every action has value and can be settled instantly without traditional financial friction.

VerifiForge AI is a next-generation autonomous DeFi trading agent designed to simulate how artificial intelligence can enhance trading decisions in real-time environments. The system continuously analyzes market conditions using technical indicators such as RSI, MACD, and momentum signals, and generates actionable trading decisions like BUY, SELL, or HOLD with confidence and risk scoring. Built with a modern full-stack architecture, the platform features a responsive dashboard, AI chat assistant, decision tracking system, and trade execution simulation. It operates in a dry-run mode for safe experimentation while maintaining a production-ready structure. The project demonstrates how AI agents can assist users in navigating volatile crypto markets by combining data-driven insights with intuitive user interfaces. VerifiForge AI is designed as a scalable foundation for future expansion into fully autonomous trading systems, real backend execution, and SaaS deployment infrastructure.

MotiP Economy is a fully functional simulation of a tokenized AI agent ecosystem where autonomous agents transact with each other in real time. As AI agents become first-class participants on the internet, they need a native economic layer to exchange value. MotiP demonstrates what that future looks like. The system includes multiple independent agents, each with balances, staking mechanics, reputation scores, and transaction histories. A simulation engine runs autonomously every few seconds, selecting agents, calculating transaction amounts, and executing trades without human intervention. Each transaction follows a realistic lifecycle: pending → confirmed → failed, with optimistic UI updates and rollback logic. The dashboard visualizes live economic metrics including total supply, circulating supply, 24-hour volume, active agents, and rankings. Built with React, TypeScript, Zustand, and Vite, MotiP demonstrates agent-native payments, autonomous execution, persistent state, and real-time economic visibility. It serves as a blueprint for future OpenClaw-powered agent marketplaces and micropayment ecosystems.

Warehouse Orchestrator AI is an AI-powered warehouse automation simulation platform designed to demonstrate how autonomous robots can optimize modern logistics operations. The system simulates a real warehouse environment with multiple zones (A, B, C, D, Packing, Charging Dock) where robots intelligently navigate, avoid obstacles, and complete delivery tasks. The platform includes a futuristic SaaS dashboard that provides real-time monitoring of robot status, battery levels, active tasks, performance analytics, and system logs. It showcases intelligent routing and decision-making logic that can scale to real-world warehouses. This project is built using HTML5 Canvas, JavaScript, and CSS, optimized for smooth real-time rendering, and deployed on Cloudflare Pages for fast global access. The architecture is designed to be cloud-ready and extendable for integration with Vultr infrastructure and real robotic systems.

AI Trading Coach is an AI-powered trading assistant designed to help traders make better decisions through analytics, risk insights, and coaching. The platform provides a clean dashboard showing portfolio KPIs such as portfolio value, win rate, total trades, and risk score. It also displays recent trades in a structured table and allows users to interact with an AI Coach chat system. The AI Coach provides trading guidance, risk management suggestions, and performance analysis. If the backend becomes unavailable, the system automatically switches into demo mode using mock trade data to ensure uninterrupted user experience. This project is focused on making trading safer, smarter, and more disciplined by combining AI-based insights with real trading metrics. It is built for fast deployment and real-world usability.

SwarmDeal is an autonomous AI-powered group buying assistant designed to explore the future of agentic commerce. Instead of manually searching products or coordinating with others, users simply describe what they want to buy in natural language. The AI agent interprets the intent, suggests group buying opportunities, and demonstrates how collective demand can unlock better pricing. The core idea behind SwarmDeal is automation of coordination rather than checkout. The agent conceptually matches users with similar interests, illustrates dynamic pricing as more participants join, and presents a seamless conversational experience. This demo focuses on UX, interaction flow, and agent reasoning rather than full payment infrastructure. In a production-ready version, SwarmDeal would integrate Gemini for advanced reasoning and decision-making, Circle Programmable Wallets for USDC payments, and Arc for on-chain settlement using agent-driven commerce standards. This prototype demonstrates how AI agents can mediate collective value and simplify complex buying processes through conversation-first design.

Q-SecurePay is an AI-powered fraud detection system designed to bring real-time security, analytics, and automated protection to the Qubic blockchain. Currently, Qubic users face significant challenges: there is no risk scoring, no scam detection, and no protective layer before executing transfers. This creates opportunities for malicious wallets, phishing attempts, and accidental transactions that lead to irreversible losses. Q-SecurePay solves this by acting as a smart “Security Firewall” between the user and the blockchain. The system analyzes wallet activity, transaction patterns, behavior history, wallet age, transfer frequency, and reputation. Using this data, it generates a real-time Risk Score (0–100) that determines whether a transaction is safe, suspicious, or dangerous

SmartOffice Orchestrator (OfficeGenix) is an AI-driven multi-agent office automation system built entirely with IBM watsonx Orchestrate. The project demonstrates how multiple agents, connected toolsets, and low-code workflows can combine to automate daily enterprise operations with high efficiency. The system uses four specialized agents: Calendar Events Manager Agent – Creates, manages, and organizes Outlook calendar events. Assignment Manager Agent – Handles HR operations such as manager assignment and employee position updates. Asset Manager Agent – Tracks IT and office assets, updates records, and retrieves configuration details. Sales Activity Manager Agent – Creates Salesforce tasks and events, counts activity items, and supports sales operations. With over 30+ integrated tools, SmartOffice Orchestrator automates workflows like: Scheduling meetings through natural language Updating HR assignment data Managing Salesforce tasks Tracking or updating office assets Accessing Google Drive and Outlook actions Generating real-time multi-agent collaboration Users interact with the system naturally by typing commands such as: “Create a meeting tomorrow at 10 AM”, “Update the manager assignment”, or “Add a Salesforce task for follow-up.” The system automatically selects the correct agent, triggers the required tools, and completes the task without any coding or external API keys. This project highlights how enterprises can use agentic AI to reduce workload, increase productivity, and modernize office operations with a fully no-code automation framework.

EcoGuide AI Pro is an AI-powered eco travel planner that helps users design smart, sustainable trips with just a few inputs. The app collects the traveler’s profile, budget, days and interests, then uses Gemini and a small RAG engine built on curated CSV data (hotels, activities, places) to generate a personalized itinerary. Each plan includes a day-by-day schedule, eco-scores, cost estimates, carbon-saved approximation and simple reports such as time-balance, risk & safety and cost-leakage warnings. The UI is built with Streamlit and focuses on clarity: overview metrics, activities list, analysis tab, packing list and story tab. Even though some advanced features like PDF export and conversational chatbot are still experimental, the prototype already shows how AI can guide travelers toward greener choices in the Middle East.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

📅 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. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

⏱️ 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: Onsite Build Day. May 20: Demo Showcase & Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 💰 $28,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

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!

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88

⏱️ You’ve got almost a month to design, build, and showcase real-time Voice AI Agents in a fast-paced global hackathon. 📅 April 7 – May 5, 2026 🌟 Powered by Google’s AI stack (Gemini, AI Studio, Live API) 🎙️ Create low-latency, conversational voice experiences 🤝 Join solo or with a team 💰 $100,000 prize pool 🧑‍💻 Start building with Google’s latest AI tools.