Muhammad Talha@muhammadtalha

Vigil is an intelligent risk assessment platform powered by 8 specialized AI agents that work in sequence to analyze financial and operational risks. Users provide company profile data, then Vigil's orchestrator routes the message through agents (Signal Harvester, Narrative Intel, Macro Watchdog, Competitive Intel, Risk Synthesizer, Strategy Commander, Market Oracle) based on intent. The system ingests live market data (VIX, S&P500, sector ETFs, news headlines) and synthesizes it with company context to produce: (1) risk score 0-100 with tier color (GREEN/YELLOW/ORANGE/RED), (2) top 3 risks ranked by probability, (3) top 3 actions with deadlines, and (4) 30-day strategic playbook. Built on FastAPI backend with session persistence, Claude models via AIML API on complete.dev environment.

FLOE revolutionizes blockchain payments by combining Arc Testnet, Circle USDC/SDK, autonomous AI agents, and voice control into one seamless platform for real-world asset automation. We built Agent-to-Agent (A2A) autonomous payments where Cloudflare LLaMA 3 AI agents automatically evaluate payment requests, analyze contract terms, check wallet balances, and execute transactions via Circle SDK—zero human intervention required. Full CCTP integration enables seamless cross-chain USDC transfers between Arc Testnet, Base Sepolia, and Polygon. Multi-wallet management with Circle's Web3 Services SDK handles smart contract execution and real-time transaction polling. Our Voice AI Assistant uses Cloudflare Whisper for speech-to-text, LLaMA 3 for conversational AI, and ElevenLabs for text-to-speech. Users control payments with natural language: "Show my wallets", "Create contract", "Send payment"—the AI navigates and executes instantly. Real use case: Landlord creates $1000 monthly rent request → Enables A2A mode → Sends to tenant → Tenant's AI agent evaluates on due date → Checks wallet balance → Verifies contract terms → Auto-executes payment via Circle SDK → Landlord receives USDC on Arc Testnet. Completely autonomous. Technical highlights: Request Center for payees to receive payments, A2A manual mode (agent evaluates, human executes), A2A auto mode (agent evaluates + executes), recurring payment scheduling, cross-chain CCTP transfers, voice-driven page navigation, production-ready smart contract execution on Arc Testnet. Built with Arc Testnet, Circle USDC & SDK v1.1.1, CCTP, Cloudflare Workers AI, ElevenLabs, Node.js, React, TypeScript, PostgreSQL. Fully functional and ready for real-world RWA payment automation.

QuizWhiz is a cutting-edge learning platform designed to empower students by transforming their study material into interactive learning formats — instantly. Students simply upload a PDF, DOC, or paste a YouTube educational lecture, and our AI (powered by Novita LLMs) analyzes the content and generates: Multiple-choice quizzes Interactive flashcards (with TTS playback) Shareable quiz links for peer testing Smart feedback with correct answers and explanations What makes QuizWhiz truly stand out: No login required: Students can generate quizzes instantly. Voice-enabled flashcards: Turn studying into an audio experience. Save and share: Easily save question sets or challenge friends. Mockup features preview: Group quiz rooms, chat discussion, and personalized study plans. Built using ReactJS, NodeJS, MongoDB, and deployed via Render, this app is fully scalable and fast. We developed this project using TRAE AI (AI coding IDE), which dramatically boosted our speed and consistency. LLM integration via Novita AI APIs played a critical role in converting raw text to meaningful learning content. QuizWhiz is more than a tool — it’s a glimpse into the future of education. Designed with accessibility, speed, and utility in mind, it's perfect for students, teachers, and educational institutions looking to upgrade their learning workflows using AI. With future plans to include group study rooms, spaced repetition memory coaching, leaderboards, and user login dashboards — QuizWhiz is just getting started. Let’s make learning smarter, faster, and more fun — for everyone.

CodeSentinel is an AI-driven code security and review platform that integrates directly with GitHub and Bitbucket to analyze pull requests in real time. Powered by Claude Sonnet, it deeply inspects code diffs to detect logic bugs, security flaws (like SQL injection, insecure auth), and style violations. Unlike traditional scanners, CodeSentinel reasons about code contextually, explains vulnerabilities, suggests secure fixes, and even allows developers to chat directly with the AI to ask follow-up questions or request refactors. I built the entire platform solo in under 4 days — full-stack (React, FastAPI, PostgreSQL), with secure OAuth integration, PR diff handling, AI prompt engineering, and a live chat interface. Developers can review and fix PRs with LLM assistance, right from their dashboard. CodeSentinel elevates code quality, automates security, and saves teams countless hours — all through intelligent, explainable AI. It’s not just a static scanner; it’s a full-fledged AI copilot for your codebase.

⏱️ 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

🔍Create AI-driven solutions using open-source technologies to optimize public sector network management—planning, procurement, and maintenance—for scalable, sustainable school connectivity in underserved regions. 📅 Join us January 24-26: Participate online or in person in Geneva to develop innovative solutions with peers globally. 👨‍🏫 Work alongside industry mentors for insights and guidance on your projects. 🏆 Compete for a chance to join the Lablab NEXT incubator program! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

This hackathon invites participants to explore a new way of software creation, leveraging AI automation to streamline development from idea to working prototype with minimal coding effort. Whether you're a developer, entrepreneur, or creative thinker, this is your opportunity to experience the future of AI-assisted software building. 📅 TBA – Participate online, collaborating with innovators and builders to explore a new way of software development. 💡 Discover the power of AI-assisted development to accelerate product creation, automate workflows, and prototype with ease. 🏆 Compete for an opportunity to participate in the exclusive lablab NEXT acceleration program. ⏳ Spots are limited! Secure your participation today!

Join us for an exclusive hackathon leading up to the /function1 AI Conference & Exhibition in Dubai (May 2, 2025) - a conference with one pivotal notion: to create a #1 platform for startups and founders of the AI field; to give them the spotlight they often lack, and represent the countless possibilities of Artificial Intelligence. 📅 April 25 – May 1, 2025 – Join us online and collaborate with global AI enthusiasts. 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!