Abdullah Khetran@abdullah_khetran315

NovaAI is an AI-powered trading agent built to operate in dynamic financial markets with speed, adaptability, and intelligence. The system continuously processes live market data, evaluates conditions, and makes autonomous trading decisions based on configurable logic. At its core, NovaAI is highly flexible. Instead of being limited to a single approach, it allows multiple strategies to be integrated, tested, and iterated upon. This makes it suitable for experimentation, learning, and real-world deployment scenarios. Users can define how the agent behaves under different market conditions, enabling both simple rule-based approaches and more advanced decision-making models. NovaAI also focuses on reliability and control. It includes mechanisms for managing trade execution, monitoring performance, and ensuring that decisions align with predefined constraints. The agent can simulate or execute trades, making it useful for both testing environments and live scenarios. The project aims to bridge the gap between automated trading systems and user-defined intelligence by providing a structured yet adaptable platform. Whether used for learning, prototyping, or deployment, NovaAI demonstrates how autonomous agents can be leveraged to interact with financial markets in a scalable and efficient way.

Modern users often accumulate hundreds of unorganized files in folders like Downloads, leading to clutter, lost documents, and wasted time. Manually organizing files is repetitive, error-prone, and rarely maintained consistently. AutoSort is a privacy-first autonomous agent built on OpenClaw that tackles this problem through intelligent local execution. The agent scans a chosen directory, examines file names, extensions, and metadata, and uses multi-step reasoning to decide how to categorize and rename each file. It then performs real file system actions, creating folders, moving files, resolving conflicts, and detecting duplicates. What sets AutoSort apart from traditional scripts is its persistent memory and adaptive learning. The agent remembers user preferences across sessions for example, learning that career-related PDFs belong in a specific folder and uses this knowledge to make better decisions in the future. It also includes self-correction logic i.e if a move fails or a conflict occurs, the agent retries using alternative strategies. Additionally, AutoSort supports a long-running watch mode, allowing it to monitor folders and proactively maintain organization over time. All operations are executed locally through OpenClaw, ensuring full privacy, user control, and reproducibility. This project demonstrates meaningful autonomy, practical tool usage, persistent memory, and real-world utility, showing how OpenClaw agents can deliver tangible everyday value.

VendorMatch is an all-in-one vendor discovery and hiring platform built for everyone—from businesses seeking professional service providers to individuals looking for reliable vendors for personal or household tasks. Whether you need a graphic designer for your startup, a construction contractor for renovation, a plumber for your home, or a caterer for a personal event, VendorMatch helps you find the perfect provider with ease. Users can explore detailed vendor profiles, compare reviews, check pricing, and hire the right vendor within minutes. Our platform ensures transparency, trust, and convenience through verified vendor listings, smart recommendations, and seamless communication tools. VendorMatch simplifies the entire hiring process so anyone—business or homeowner—can find the best vendor for their unique needs.

AirMouse is an AI-powered desktop application that enables full mouse control using only hand movement. Using advanced real-time hand-tracking technology models tensorflow-models/hand-pose-detection and mediapipe/hands, AirMouse turns the device’s webcam into a virtual mouse input system, allowing cursor movement, clicking, and basic interactions without touching a physical mouse or mousepad. Ideal for situations like snacking while watching Netflix or dealing with a broken or unavailable mouse, AirMouse offers a smooth, touch-free alternative. Users simply hold a hand in front of the webcam and navigate the screen through natural, intuitive gestures. Designed for convenience, accessibility, and ease of use, AirMouse introduces a gesture-based control experience suitable for casual browsing, media control, accessibility needs, or emergency backup when a traditional mouse isn’t available.

In today's digital age, online forums like Reddit are the new public square, hosting millions of conversations that shape opinions and trends. However, this landscape is often chaotic, polarized, and difficult to navigate. It's nearly impossible to get a clear, unbiased signal from the noise. Our project, Polarization Mapper, is designed to solve this problem. It's an intelligent AI agent that acts as a digital sociologist, diving into online communities to map the true state of public opinion. How It Works & What It Delivers: When you give the agent a topic—from political debates to climate change or new product reviews—it gets to work. It fetches the most influential posts and comments from Reddit and processes them through a Natural Language Processing (NLP) pipeline. This isn't just basic sentiment analysis; its key function is stance detection. The agent identifies and clusters different, often opposing, viewpoints. The final output is a clear, data-driven visualization of the entire conversation, showing where people agree, where they disagree, and what the core arguments are. This transforms a messy sea of text into actionable insights. This tool provides invaluable insights for a wide range of users: Market researchers can get authentic, unfiltered feedback on products. Political strategists can track shifting public sentiment during campaigns. 🗳️ Policymakers and NGOs can better understand public concerns on critical issues. Ultimately, Polarization Mapper brings clarity and structure to the chaotic world of online discourse, making it possible to truly understand the pulse of the public.

📅 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.

⏱️ 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. 🎟 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.

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.

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.

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