Muhammad Haris Ahsan@iamharisahsan

AuraCare Assistant is an intelligent, AI-powered platform designed to revolutionize the patient experience by tackling the administrative friction in healthcare. From tedious intake forms to the confusing process of finding the right specialist, our application automates routine tasks, provides intelligent recommendations, and empowers patients to take control of their healthcare journey. By streamlining the administrative workflow, AuraCare allows healthcare providers to focus on what truly matters: delivering exceptional care. Our vision is to create a healthcare ecosystem where technology enhances the human element, making every interaction smoother, faster, and more empathetic. We believe that by reducing administrative burdens, we can foster better patient-provider relationships and improve overall health outcomes.

Agent Startup Box is a multi-agent platform that empowers anyone with an idea to instantly transform it into a startup blueprint. Built on Coral Protocol and designed with Lovable.dev’s AI-first no-code environment, our solution demonstrates how the Internet of Agents can make startup creation 10x faster and more accessible. 🚀 How it works: A user enters their raw idea into the system. Our Startup Pitch Agent (powered by Mistral AI) generates a catchy startup name, tagline, and elevator pitch. A Roadmap Agent outlines the MVP development path, early customer acquisition strategies, and a go-to-market plan. Agents integrate with partner tools: ElevenLabs: Convert the pitch into a human-like investor voice demo. Crossmint: Tokenize startup pitches as NFTs for proof-of-ownership. Nebius AI: Scale inference for larger pitch decks and multi-market strategies. ✨ Core Features: AI-Powered Startup Builder → Input idea → Get instant startup pitch. Agent Orchestration with Coral Protocol → Agents are reusable, plug-and-play, and discoverable in the Coral Registry. No-Code Frontend → Built on Lovable.dev for fast, beautiful, Web3-inspired UI. Extensible Architecture → Other developers can plug in new agents (e.g., Legal Agent, Funding Agent, Marketing Agent). 💡 Problem Solved: Founders waste weeks validating ideas, writing pitches, and outlining MVPs. Agent Startup Box reduces this to minutes, making entrepreneurship more inclusive and accessible. 📈 Business Value: For Founders: Get clarity and validation instantly. For Accelerators/VCs: Screen hundreds of ideas quickly. For Developers: Reusable agents can be monetized via Coral Registry. 🌐 Future Vision: Expand Agent Startup Box into a full AI-powered Startup Studio: Auto-generate pitch decks, customer personas, and investor outreach lists. Enable collaborative multi-agent workflows for teams. Become the go-to toolkit for turning ideas into businesses.

QuantAlpha - Conductor Track QuantAlpha is an AI-powered portfolio manager that dynamically allocates investments based on real-time news, earnings calls, and financial reports, offering clear, explainable insights behind every decision. Problem Statement: Retail investors and small-scale traders are increasingly seeking real-time, intelligent guidance, but they often lack access to the advanced tools and insights used by institutional portfolio managers. While professionals rely on earnings calls, 10-K filings, and macro news to drive allocation decisions, retail users face noisy data, fragmented platforms, and complex tools. This gap results in suboptimal decisions and missed opportunities, highlighting the need for an accessible, explainable AI system that can interpret market signals and deliver dynamic, data-driven portfolio strategies. QuantAlpha solves this by building an AI-powered portfolio manager that ingests real-time financial information and allocates assets dynamically. It explains each allocation decision clearly, helping users build confidence in their investments. The system serves as a 24/7 assistant, always watching the markets and making proactive, explainable portfolio adjustments. Primary Customer/User: Self-directed investors manage personal portfolios. Semi-professional traders and financial content creators. Quant traders who want research via LLM prompts. Use Case: Input: “How should I adjust my portfolio this week?” Output: Portfolio allocation + explanation (e.g., “Increased exposure to semiconductors due to strong Nvidia earnings and upward momentum”) Market Landscape / Competitors: Robo-advisors like Betterment and Wealthfront offer static, ETF-based portfolios with automated rebalancing tied to long-term risk profiles, while platforms like BlackRock’s Aladdin provide advanced forecasting but remain out of reach for retail investors.

Your AI-Powered DevOps Buddy is an AI-driven web application designed to simplify and automate DevOps tasks using natural language. Developers can generate GitHub Actions workflows, Dockerfiles, CI/CD pipelines, and even validate complex YAML configurations—just by describing what they want. Built with a sleek UI using Lovable.dev and powered by custom AI agents created inside Trae AI IDE, this tool eliminates the manual burden of writing and debugging infrastructure code. With smart contextual agents, real-time previews, and automated config generation, DevOps becomes as simple as chatting with your assistant. We used Trae to design, build, and power our entire logic system, showcasing the real potential of AI-native IDEs.

You don’t know what gift to give. A boring “Happy Birthday” just won’t cut it anymore. You want to explain your business story to your customers/employees, but it’s so dry it could put a room to sleep. Or maybe your kid dreams of being a superhero, and all you’ve got is… A CAPE? Enough is enough! We take your story (personal, business, or just plain crazy) and turn it into an unforgettable comic book. How? Behind the magic is cutting-edge AI technology that takes your idea, your characters, your setting, and your plot, and transforms it into consistent, beautifully illustrated comic books. 1. You tell the story -> Share your vision, describe your characters, and outline the vibe. 2. Our AI draws it -> Using advanced algorithms, it generates custom illustrations that align with your description. 3. You get your masterpiece -> Adjust if needed, and voilà! A personalized comic book, ready to wow :)

In extreme environments like space missions or disaster-stricken areas on Earth, resource depletion and health deterioration can quickly become life-threatening. Astronauts and emergency responders need real-time intelligence to assess survival conditions and take immediate action. ARMS (Autonomous Resource Management System) is an AI Agent designed to autonomously track, analyze, and optimize survival resources. It continuously monitors oxygen levels, food supplies, power availability, communication signals, and astronaut health data (heart rate, oxygen saturation, stress indicators). Using machine learning-driven predictive analytics, ARMS calculates the estimated survival time based on resource consumption rates and physiological conditions. When survival estimates fall below a safe threshold, ARMS proactively triggers automated alerts to mission control or local response teams, enabling rapid interventions. This AI-driven approach ensures real-time situational awareness, minimizing risks and optimizing life support strategies. Beyond space exploration, ARMS is scalable for terrestrial emergency scenarios, including natural disasters, refugee crisis management, remote medical operations, and military crisis response. By integrating AI-powered resource optimization and survival prediction, ARMS transforms emergency preparedness, making life-saving decisions faster and more effective across diverse environments.

Smart Network Planning 🌐📡 As the demand for 5G networks grows rapidly, network providers face several challenges: Inefficient Planning 🛠️: Determining the best locations for 5G infrastructure often involves guesswork or labor-intensive analysis, leading to suboptimal deployments. Resource Bottlenecks 🚦: Network congestion and poor load balancing result in slow connectivity and inefficient use of resources. Manual Workload 🤯: Repetitive tasks in network planning take up valuable time and are prone to human error. The "Smart Network Planning" project addresses these issues by introducing an intelligent, automated system that leverages machine learning (ML), vector search, and large language models (LLMs). How It Works 💡 Data-Driven Planning 📊 By analyzing 5G network data (e.g., user density, traffic patterns, infrastructure), the system identifies the best locations for new deployments, eliminating guesswork. Optimized Resource Allocation ⚙️ The system uses AI insights to balance network traffic and allocate resources effectively, reducing congestion and improving connectivity. Automation of Repetitive Tasks 🤖 Tedious tasks like manual calculations and data analysis are automated, saving time and reducing errors. Scalability 🔍 Powered by Milvus, the solution can process large datasets quickly, making it ideal for both urban and rural network planning. Advantages 👌🚀 Efficiency: Automates complex tasks, saving time and reducing errors. Scalability: Handles massive datasets effortlessly with Milvus. User-Friendly: Features a simple interface using Streamlit, perfect for non-technical users. Domain-Specific Intelligence: Combines embeddings and LLMs for tailored, smart solutions to network challenges. The result? Smarter, faster, and more effective network planning that brings seamless connectivity closer to everyone! 🌍✨

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.

⏱️ 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

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.