QueryLens is an AI-powered conversational analytics platform that democratizes data insights by eliminating the technical barrier between users and their data.

VaultLink is a no-code creator monetization platform powered by MNEE stablecoin. Creators can set up paywalls, subscriptions, and automated revenue splits in minutes—with instant payouts and zero platform fees.

advanced AI/ML-powered diagnostic platform that democratizes healthcare by enabling early disease detection through multi-modal medical image analysis and patient data integration.

EcoSenseAI reimagines environmental monitoring as a software-first robotic system, fully operational in simulation to align with AI-robotics integration. At its core, the platform simulates robotic sensors (e.g., via Raspberry Pi scripts with mock data for CO2 levels from 300-800ppm and temperatures 20-30°C) to mimic real-world IoT deployments without physical hardware. Data is ingested through AWS IoT Core (adaptable to cloud simulators), processed by a TensorFlow LSTM model that trains on historical datasets to predict CO2 spikes—alerting if levels exceed 600ppm for proactive interventions. The backend, powered by FastAPI, handles real-time ingestion, AI predictions, JWT authentication, and PDF report generation using ReportLab, with all data stored in MongoDB for scalable querying. A React frontend provides an interactive dashboard with Chart.js visualizations for trends, Material-UI alerts for spikes, and WebSocket integration for live updates, ensuring operators can monitor simulated robotic behaviors in a web-accessible app. This simulation-first approach addresses key robotics challenges: it enables low-cost training and evaluation pipelines (Track 2), where AI autonomously controls monitoring tasks, reacts to environmental changes, and generates analytics for industries like healthcare facilities or manufacturing warehouses. For instance, in a virtual digital twin of a warehouse, the system could simulate robotic sensors detecting air quality issues, triggering automated alerts or adjustments.

FinanceGuard AI revolutionizes personal finance management for traders and everyday users by leveraging advanced AI to provide real-time fraud detection, intelligent spending optimization, and goal-oriented financial planning. Originally designed to empower students against rising financial scams (up 40% targeting young adults), this prototype has been adapted for trading platforms like Deriv, focusing on anti-fraud, compliance, and risk management in volatile markets. At its core, the system uses machine learning algorithms to analyze transaction patterns, merchant data, and user behavior, flagging suspicious activities such as unusual trade volumes, unauthorized access attempts, or anomalous market behaviors that could indicate fraud or manipulation. For instance, it can detect pump-and-dump schemes or irregular betting patterns in derivative trading by cross-referencing historical data and real-time inputs. Key features include: Real-time Fraud Detection: AI scans transactions for red flags, providing instant alerts via a conversational interface powered by natural language processing (e.g., Claude API integration). Smart Budget and Risk Optimization: Tracks spending or trading budgets, offering personalized recommendations to minimize risks, such as diversifying portfolios or setting stop-loss thresholds based on market intelligence. Automated Goal Tracking: Helps users set and achieve financial objectives, like building trading capital, with progress visualizations and adaptive savings plans. Educational Insights: Delivers tailored financial literacy content, explaining complex concepts like compliance regulations or market risks in simple terms to promote informed decision-making.

SolCipher_ARC revolutionizes digital document commerce by combining privacy-preserving encryption with autonomous AI purchasing agents on Arc Network. Core Innovation: Documents are encrypted client-side using AES-256-GCM with wallet-derived keys before IPFS upload—only buyers with valid payment can decrypt. The x402 Payment Required protocol enables seamless micropayments from $0.01 to $100, with instant USDC settlement. Agentic Commerce: Our Gemini-powered AI Research Agent autonomously searches, evaluates, and purchases documents within user-defined budgets. It analyzes content relevance, compares pricing, and executes x402 payments—enabling hands-free knowledge acquisition. Creator Economics: 95% revenue goes directly to creators with instant payouts. No intermediaries, no delays—just fair compensation powered by Arc's efficient settlement layer. Technical Highlights: - Client-side AES-256-GCM encryption with PBKDF2 key derivation - x402 HTTP Payment Required protocol integration - Gemini 2.5 Flash for intelligent document discovery - Circle Wallet integration for USDC payments - Arc Network for sub-second settlement finality Built for the "Agentic Commerce on Arc" hackathon, targeting Best Gateway-Based Micropayments and Best Use of Gemini tracks.

⏱️ You’ve got almost a month to design, build, and showcase intelligent AI Agents in a fast-paced global hackathon. 📅 March 2 – 31, 2026 🌟 Build with Google’s AI stack, including Gemini models, Google AI Studio, and emerging agent frameworks with guidance, docs, and hands-on experimentation. 🤝 Work solo or with a team to bring autonomous, multimodal, or research-driven AI Agents to life. 💰 $50,000 PRIZE POOL for the best AI-powered solutions. 🧑‍💻 Sign up and start building with Google’s latest AI tools.

⏱️ 15 days to design and ship a working Web3 product or agent. 📅 February 4 to 19, 2026 • Feb 4 – Hackathon opens. Teams can start building and submitting. • Feb 5 to 19 – Build, test, and iterate • Feb 19 – Final submissions due 🚨 Important eligibility reminder To be eligible for prizes, teams must post their submission video on X and tag @lablabai and @Surgexyz_. 🤝 Build solo or with a team. 💰 $50,000 prize pool in $SURGE Token. ⚠️ Self-service hackathon This is a fully self-service hackathon. There are no live streams, kickoff sessions, or scheduled workshops. Participants can register, build, and submit at any time before the submission deadline.

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together

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!

Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews. When • Sat, Jan 31, 2026- On-Site Pre-Hackathon: Deriv AI Meetup (Dubai) • Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai) • Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online) • Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online) On-Site Pre-Hackathon: Deriv AI Meetup Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai In-person talks, workshops, team formation, and networking with the Deriv team. 👉 Deriv AI Meetup registration What's in it for you • USD $10,000+ in prizes across categories • Mentors available to unblock you when you're stuck • Fast-track interviews for top performers - skip the queue • Real problems to solve - not toy demos Format • Teams of 1-3 • Hybrid: Dubai on-site or fully remote • On-site spots confirmed after screening Location • One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE • Travel and accommodation not provided. Apply now • Spots are limited. Shortlisting begins right after the event.