Fouzia Akbar@FouziaAkbar98

MarketScout AI is an autonomous multi-agent platform built for the AMD Developer Hackathon Act II to help entrepreneurs, researchers, innovators, and investors validate startup ideas faster and make data-driven decisions with confidence. Validating a startup idea typically requires hours or days of manual research across competitor websites, scientific publications, patent databases, funding platforms, and market reports. This fragmented process slows innovation and makes it difficult to identify truly promising opportunities. MarketScout AI solves this challenge through a team of 12 autonomous AI agents that collaborate to automate the entire validation workflow. Starting from a single startup idea, the platform performs competitor analysis, scientific literature review, patent discovery, funding research, market trend analysis, research gap identification, innovation scoring, business validation, strategic planning, knowledge graph generation, and automated report creation. The platform delivers an interactive dashboard with competitor insights, market opportunities, SWOT analysis, funding recommendations, innovation scores, strategic guidance, and a visual knowledge graph that connects technologies, research, competitors, and investments into one unified view. Powered by Fireworks AI running advanced large language models on AMD Cloud Infrastructure with AMD Instinct GPUs, and built using Next.js and Tailwind CSS, MarketScout AI provides fast, scalable, and autonomous AI reasoning. As part of the Expected Unicorn Track, our vision extends beyond validating ideas. We aim to help founders discover high-potential, billion-dollar startup opportunities by combining autonomous AI research with actionable business intelligence. MarketScout AI acts as an AI startup co-pilot, reducing research time from days to minutes while helping innovators identify market gaps, evaluate opportunities, and build the next generation of unicorn startups.

QAaaS-MVP (Quality Assurance as a Service) implements the “Internet of Agents” concept by connecting multiple specialized AI agents into a cohesive system. Each agent performs distinct tasks—repository cloning, automated testing, code aggregation, and unit testing—while communicating through a central server for orchestration. This project demonstrates real-time agent registration, heartbeat monitoring, and task execution, allowing developers to automate QA pipelines efficiently. The modular architecture supports easy addition of new agents, integration with GitHub repositories, and optional Coral Studio monitoring. QAaaS-MVP showcases scalable AI-driven automation, making software development faster, more reliable, and smarter.

SwarmAid is an AI-powered disaster response platform designed to demonstrate how multiple specialized AI agents can collaborate to improve crisis management. When disasters strike, information is often fragmented and response times are critical. SwarmAid brings together four agents – a Data Analyst that interprets satellite and hazard feeds, a Medic Coordinator that analyzes social signals to triage urgent medical needs, a Logistics Manager that plans safe and efficient delivery routes, and a Critic that validates and improves plans. By integrating real-world APIs such as NASA EONET, Twitter/X, and OpenRouteService with advanced AI models, SwarmAid simulates a coordinated, intelligent response system that empowers first responders, NGOs, and governments to save lives faster and more effectively.

This project is a fully open-source AI application that automates the process of reviewing code changes in GitHub pull requests. It uses the power of BLACKBOX.AI’s Coding Agent and leverages Groq’s high-speed inference capabilities to run LLaMA models by Meta for analyzing code diffs and generating insightful, natural-language review comments. Built to enhance developer productivity, the tool seamlessly integrates with GitHub, scans PRs for changes, and offers intelligent suggestions including bug detection, optimization tips, and documentation prompts all within seconds. It features a clean, user-friendly interface that supports both GitHub-connected workflows and manual code review for standalone snippets. By combining ultra-low latency inference (via Groq) with sophisticated language modeling (via LLaMA), this tool aims to reduce review time, increase code quality, and make collaborative development more efficient for teams of all sizes.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (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 February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.

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!