Muhammad Usama@Muhammad_Usama

Robotic pick-and-place systems are typically hard-coded: every task sequence is scripted by an engineer, and operators can't simply tell the arm what to do. ArmMind solves this by placing an LLM agent between the human operator and the robot's perception and control stack. Given a plain-English instruction like "pick up the blue gear and place it in bin 2," ArmMind reasons over the current workspace state (objects and bins) and outputs a structured, validated JSON action plan specifying exactly which object to pick and where to place it, along with its reasoning and confidence level. This project directly extends a prior capstone: an OpenCV-based robotic arm that performed autonomous object detection and pick-and-place sorting using hard-coded task logic. ArmMind replaces that fixed logic with an agentic reasoning layer powered by Gemma via Fireworks AI, running on AMD infrastructure, so the same perception pipeline can now be driven by natural language instead of pre-written rules. The result is a step toward natural-language-controllable industrial robotics, applicable to manufacturing, warehouse sorting, and other automated handling tasks.

Qubic Whale Alert is a real-time transparency tool designed to monitor the Qubic QX smart contract for high-value activity. Built entirely using EasyConnect (No-Code Track), this automation listens for specific blockchain methods—such as "TransferShareOwnershipAndPossession"—to detect when significant assets change hands. Whenever a major event occurs, the system triggers a webhook to notify stakeholders and community managers via Discord. This project demonstrates how EasyConnect can be used to build financial transparency tools and "Whale" monitors without writing a single line of code. Key Features: • Real-time monitoring of QX Smart Contracts • Instant Discord notifications via Webhook • Filters for valid share transactions • Fully no-code implementation

Problem: Sales representatives often struggle with maintaining consistency in their communication. Emails can become too long, unprofessional, or lack clear calls to action, leading to lower conversion rates. Solution: We developed the Sales Outreach Assistant using IBM watsonx Orchestrate. Instead of using rigid templates, this agent is grounded in a specific "Sales Outreach Rules" knowledge base to ensure every interaction meets high-quality standards. How it works: Agent Construction: We used the Agent Builder to create a specialized sales assistant. Policy Integration: We uploaded a set of Strategic Outreach Guidelines as unstructured knowledge. This document dictates the agent's behavior, enforcing rules such as keeping emails to 3-5 sentences, maintaining a professional tone, and always including a clear Call to Action (CTA). Generative Reasoning: The agent does not just retrieve text; it generates unique emails for every lead while strictly adhering to the uploaded rules. It intelligently asks for missing details (like the company name) to ensure the final output is fully personalized and compliant.

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📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

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.

⏱️ 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