Pradyot Bathuri@pbathuri

Our project is an AI-powered Legal Document Intelligence platform designed to help users analyze, understand, and interact with complex legal documents using modern agentic AI workflows. The system enables users to upload contracts, agreements, policies, and legal PDFs, then automatically extracts critical clauses, identifies potential risks, summarizes obligations, and supports semantic querying over the entire document corpus. The platform was built to address a major pain point in legal workflows: the time and expertise required to manually review dense legal documentation. Traditional document review processes are expensive, slow, and difficult to scale. Our solution combines retrieval-augmented generation (RAG), structured document parsing, embedding-based semantic search, and multi-step AI reasoning to create a more efficient legal intelligence workflow for startups, businesses, researchers, and independent users. The architecture integrates document ingestion pipelines, OCR and parsing layers, vector search, and LLM-powered reasoning agents. Uploaded documents are chunked intelligently while preserving legal context and clause continuity. The system then indexes the data into a semantic retrieval layer that allows highly contextual querying and grounded responses. Users can ask questions such as: “What are the termination clauses?” “Are there indemnification risks?” “What obligations exist for the client?” “Summarize payment terms and renewal conditions.” The platform also includes clause classification and risk analysis functionality, enabling rapid identification of problematic or unusual language within agreements. Instead of only generating generic summaries, the system produces grounded outputs tied directly to source passages for transparency and auditability. From an infrastructure perspective, the project was designed with high-performance inference workflows in mind.

Captain Whiskers is an autonomous trading agent system for agentic commerce demos on Base Sepolia. A Next.js dashboard fronts the experience: users chat in plain English while Google Gemini provides tool-calling to interpret instructions and coordinate execution. Trading connects through the Kraken-oriented path for paper and live-capable flows, with market intelligence (PRISM) providing context for decisions. On-chain, the project emphasizes verifiable agent identity via ERC-8004 registration and reputation feedback, plus risk controls through a RiskRouter and ERC-4626-style capital vault for sandbox accounting. The server is NestJS with PostgreSQL; the repo includes Hardhat contracts, agent-card hosting, and CLI flows for registry verification and hackathon intents. Deployment is documented for split hosting (for example Vercel for the app and Railway for the API) with CORS and environment wiring. The architecture layers model constraints, off-chain validation, and on-chain limits so testnet demos stay safe while illustrating how production-grade agent commerce could be gated. The codebase also sketches extended modules—quantum-inspired portfolio tooling, micropayment patterns, and high-assurance verification—so the story can grow beyond the core hackathon path.

The Quantum‑Enhanced Robotics Simulator (QERS) is a fully‑functional digital testbed for designing, testing and validating robotic systems without physical hardware. Our goal is to narrow the reality gap between simulation and the real world by combining deterministic macro‑physics from engines like PyBullet with a quantum‑stochastic plugin that injects realistic noise via Qiskit. The simulator supports deterministic, stochastic and quantum‑perturbed stepping modes and exposes a FastAPI REST API for running jobs, retrieving metrics and managing assets. A Celery/Redis job system queues and executes simulation runs asynchronously, while the Next.js/Three.js web application provides a real‑time dashboard with a 3D viewport, scene tree, metrics panel and controls to toggle between classical domain randomization and quantum noise. Reality profiles define configurable dynamics, sensor and actuation parameters, enabling multi‑profile evaluation of policies. QERS computes gap metrics such as G_dyn, G_perc and G_perf and includes scripts for benchmarking across profiles and generating reports. Users can import URDFs, run batch simulations and compute performance drops and rank stability. Future phases will add mesh segmentation, an AI‑driven text‑to‑algorithm pipeline for generating planner and controller skeletons, and neural‑augmented simulation informed by real data. By combining quantum computing, domain randomization, residual learning and modern web technologies, QERS demonstrates a practical path to sim‑to‑real transfer and a production‑minded robotics startup.

Captain Whiskers demonstrates what it truly means to place real money under the control of an autonomous AI—without sacrificing trust, security, or accountability. As AI agents increasingly make financial decisions, the core challenge is no longer intelligence, but trust. Captain Whiskers solves this by combining Gemini-powered reasoning, quantum-inspired optimisation, and decentralised verification to create a treasury agent that is both autonomous and provably safe. Users interact with the system via a clean, high-performance trading interface inspired by modern platforms like Robinhood and Webull. High-level goals such as risk tolerance, allocation targets, or execution constraints are translated by Gemini into structured financial actions. Portfolio optimisation is performed using quantum algorithms (VQE via Qiskit), modelling multiple portfolio states simultaneously to identify optimal risk-return tradeoffs. Every decision is then passed through a trustless verification layer: an independent network of 11 verifiers evaluates the agent’s logic, risk checks, and cryptographic proofs. Only when a Byzantine Fault Tolerant quorum (7/11) is reached does execution proceed. This ensures decisions are not manipulated or hallucinated, or silently altered. Execution and settlement occur on the Arc testnet using USDC, powered by Circle Developer-Controlled Wallets and Circle Gateway. The system integrates post-quantum cryptography (CRYSTALS-Dilithium) and quantum-grade randomness to remain secure in a future where classical cryptography is failing. By combining Circle’s USDC infrastructure, Arc’s execution layer, and Gemini’s reasoning capabilities, Captain Whiskers showcases a credible future where AI agents can safely manage value at scale, earning trust not through promises, but through math, cryptography, and transparent on-chain proof.

📅 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