Samarth Shendre@samarth_shendre314

SkillPath is an AI-powered Enterprise Workforce Reskilling Orchestrator that helps organizations identify skill gaps, create personalized learning journeys, monitor employee progress, and generate HR-ready compliance reports through a coordinated multi-agent system. The platform uses five specialized AI agents working together through Band rooms. The Gap Analyst compares employee profiles with job requirements to identify missing skills. The Curriculum Architect creates customized learning plans using AI-powered recommendations. The Coach Agent provides continuous guidance and daily learning support. The Progress Tracker monitors course completion, assessment scores, and engagement metrics, while the HR Reporter generates audit-ready reports, certification summaries, and workforce readiness insights. Band serves as the collaboration layer where agents share context, coordinate tasks, escalate risks, and involve HR managers when approvals are required. Each employee can have a dedicated learning room, enabling personalized coaching while maintaining organization-wide visibility. By automating workforce development and compliance tracking, SkillPath reduces manual HR effort, improves employee growth, increases training effectiveness, and helps enterprises build a future-ready workforce through transparent, AI-driven decision making.

FutureTwin AI functions as an AI-based decision simulation platform which enables users to investigate different potential results of their critical life decisions before making those decisions. People make significant life choices about career changes and educational pursuits and business ventures and residential moves while facing challenges related to uncertainty which occurs when they have incomplete information. FutureTwin solves this problem by deploying multiple AI agents which work together to examine user objectives and personal information and external data sources such as employment market intelligence and economic metrics and skill necessity information. The system creates various potential future outcomes which it assesses for dangers while showing future results through timeline displays and outcome comparisons. The system enables users to assess multiple trade-offs which include income growth and financial risk and lifestyle changes and future career prospects. FutureTwin uses simulation and forecasting together with explainable AI to change decision-making processes from guessing to producing scientific knowledge about decision-making. The system provides users with a comprehensive understanding of future possibilities which enables them to select their optimal path toward reaching their personal objectives.

API Wallet Agent is a trust-minimized payment layer for AI agents and web services that need to pay other APIs, data sources, or compute providers in real time. Instead of monthly subscriptions and static API keys, it enables per-request micropayments using USDC on Arc. Providers publish x402-style pricing metadata (e.g., cost per image or per query), and the consumer sends a natural-language task like “Generate 3 images under $0.05.” The backend uses Gemini function-calling to parse intent, select the best provider/tier, calculate total cost, enforce budgets, and trigger an onchain USDC payment. Each payment produces a verifiable receipt (tx hash + invoiceId), then the provider API executes the request. This demonstrates machine-to-machine commerce with transparent, auditable payments.

The ESG Carbon Intelligence Agent is an advanced AI-driven sustainability assistant designed to help organizations measure, monitor, and optimize their environmental impact. Built using IBM watsonx Orchestrate, the agent automates carbon accounting workflows by processing daily or weekly emission logs, applying emission formulas, validating units, and classifying activities into Scope 1, Scope 2, and Scope 3 according to global GHG Protocol and ISO 14064 standards. The agent leverages multi-step reasoning to identify high-emission activities, detect anomalous spikes, compare materials or processes, and provide practical strategies to reduce carbon footprint. It integrates with tools such as Cloudant, API services, and file-based knowledge sources to store data, fetch emission factors, and deliver accurate insights. Users can interact with the agent through a web-embedded chat interface to upload datasets, request ESG summaries, generate detailed emission reports, or perform scenario-based analysis for sustainability planning. The system ultimately helps enterprises streamline ESG reporting, reduce environmental risk, and make informed decisions to support net-zero goals.

📅 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.

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.