Rohan Jadhav@yoogrammer

Med-Audit-Swarm is an autonomous, multi-agent AI safety layer designed to intercept fatal prescription errors and eliminate clinical "alert fatigue." In modern hospitals, legacy Electronic Medical Record (EMR) systems overwhelm physicians with minor, rule-based warnings, causing doctors to instinctively ignore alerts—even the life-threatening ones. Furthermore, relying on standard Generative AI to solve this creates a massive liability, as single-model LLMs frequently "hallucinate" or guess clinical data to fulfill a prompt. To solve this, I built a deterministic digital assembly line using the CrewAI framework. When a physician uploads an unstructured patient EMR PDF, the system deploys a specialized three-agent swarm: The Clinical Pharmacist: Ingests the messy text and extracts structured data (current medications, allergies, disease history) with 100% precision. The Toxicology Auditor: Cross-references this extracted data against actual pharmacological science to flag lethal cross-reactivities and contraindications. The Senior Reviewer: Acts as a strict quality-control gate, scrubbing the findings for false positives to ensure the physician only sees critical, highly accurate warnings. Under the hood, this system relies on strict "Zero-Hallucination" engineering, locking model temperatures near zero to guarantee fact-based, explicit outputs without AI guessing. Crucially, clinical AI cannot compromise patient privacy. Med-Audit-Swarm is architected specifically for the AMD Instinct MI300X pipeline. By utilizing its massive 192GB HBM3 memory alongside the vLLM engine, I am able to run the massive Qwen 2.5 72-Billion parameter model entirely on-premise. This ensures strict HIPAA compliance and data sovereignty while reducing a 15-minute manual chart review into an autonomous, 5-second audit.

Qubic Live Analytics is a dark theme dashboard that focuses on three things live token prices, recent network activity and very large whale transfers. Instead of building a heavy backend during the hackathon it uses a public Google Sheet as the data layer. Google Sheets acts as a simple database where each tab represents a view token prices, normal transactions and whale transfers. The front end is a single HTML file with CSS and JavaScript that calls the Google Sheets JSON view endpoint and turns rows into tables. This makes the project very easy to run, share and extend while still showing a realistic pattern for how Qubic data and EasyConnect style automation can be turned into a tool for traders, project teams and community members.`

MirrorMind is an advanced AI powered cognitive agent that focuses on creating a natural and intelligent interaction experience for users. The idea behind this project is to build a digital assistant that can understand user questions, analyze the meaning behind them, and provide accurate and helpful responses. MirrorMind uses the powerful foundation models provided by IBM Watsonx to understand language, process information, and deliver responses that feel clear, relevant, and human like. The project aims to go beyond simple rule based chat systems by introducing cognitive intelligence that can understand context, learn patterns, and adapt to different situations. MirrorMind can support decision making, offer guidance, and assist users in real time across many platforms such as web applications, mobile apps, and backend systems. The system is designed with an easy to use interface that connects with a Python backend which communicates with the Watsonx API. This smooth flow makes the experience fast, reliable, and intelligent. MirrorMind demonstrates how modern AI can improve digital communication by offering a smart, adaptive, and meaningful assistance experience for everyday users.

📅 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 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.

⏱️ 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

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!