Overview BIFlowQ is a multi-agent AI platform built on top of the Qubic decentralized network, combining: Multi-agent artificial intelligence Real blockchain interaction Automated market analysis Trading simulation Research, monitoring, and intelligence Real-time frontend interface Dual execution mode (Prototype + Real Mode) Designed for the Qubic Hack The Future hackathon, BIFlowQ demonstrates how AI can operate in a decentralized computation network. ✨ Key Features 🤖 Multi-Agent AI System A fully modular system with 5 intelligent agents: * Analytics 📊 Market analysis & trend prediction analyze-market, predict-trend * Trading 💹 Automated trades & portfolio * Management execute-trade, get-portfolio * Monitoring 🔍 Network health checks & alerts monitor-network, alert-system * Research 🔬 Market research and intelligence reports research-topic, generate-report * Qubic Network ⛓️ Direct blockchain operations get-network-stats, submit-ai-task.

Our AI agent revolutionizes Roblox avatar customization by solving the tedious, keyword-based Marketplace search. This rigid system frustrates players and costs developers sales, a missed opportunity given they earn 40% on digital item sales. Our project is a strategic solution to this, boosting engagement and revenue. By acting as a personal stylist, our agent helps players articulate their style using natural language, transforming a frustrating search into an intuitive conversation. This encourages more frequent and confident purchases, driving higher sales and player satisfaction. The technology is a dynamic multi-agent system. The process begins when a user's natural language prompt, like "Show me a cool cyberpunk outfit," is sent to an Interface Agent via the Coral Protocol. The agent uses Natural Language Processing (NLP) to break down intent and engages in a clarifying dialogue to refine the request. This back-and-forth is crucial for understanding nuanced needs, like color or price range. Once the request is clear, the agent routes the message to a specialized Roblox Catalog Agent. This agent makes calls to external APIs—including OpenAI for language processing and the Roblox Catalog API for item searches. It utilizes specific "Roblox Catalog Tools" to find items like shirts, hats, and accessories. After the items are found, the results are sent back through the Coral Protocol to the Interface Agent and then presented to the user. The intelligent system provides a real-time visual preview of the outfit on the user's avatar, allowing for instant adjustments before equipping the look in-game. This seamless, end-to-end flow from creative idea to in-game execution makes our project the future of the Roblox Marketplace. We used GPT-4, Roblox API, Prompt Engineering & Reasoning, (Not GPT Vision i could not remove it from the tech tab)

The $33 billion luxury resale market suffers from fraud, scattered inventory, and complex decision-making. Buyers spend 20+ hours researching purchases, still get scammed by fakes, and miss investment opportunities. Adogent solves this with autonomous AI agents that work 24/7 on your behalf. Our Hunter Agents find underpriced luxury goods globally, Authentication Agents verify authenticity with 95%+ accuracy, Portfolio Agents optimize investments for maximum returns, and Concierge Agents handle all transaction logistics. Built on Groq's real-time AI infrastructure with Meta's Llama models, Adogent features a voice-first interface that learns your preferences through natural conversation. Users simply say "Find me a Rolex Submariner under $8,000" and wake up to authenticated deals negotiated overnight. Target audience: Luxury consumers, collectors, and investors seeking authenticated goods and portfolio optimization. Our knowledge graph technology creates personalized investment strategies, turning luxury purchases into wealth-building assets. Key differentiator: We're the first platform with truly autonomous commerce agents that execute transactions, not just recommendations. This creates a premium service experience justifying our transaction-based revenue model while building defensible network effects in the luxury market.

Problem: Network outages and equipment failures can have severe consequences, including financial losses, disrupted services, and reputational damage. Traditional maintenance approaches are reactive, addressing issues only after they occur. This leads to inefficiencies, increased costs, and prolonged downtime. There is a critical need for a proactive solution that predicts potential failures and enables timely interventions solution:ProactiveGuard is a cutting-edge predictive maintenance system designed to revolutionize how organizations manage their infrastructure. The system integrates operational data (e.g., sensor readings), connectivity metrics (e.g., network performance), and geospatial data (e.g., location-based environmental factors) to predict failures before they happen. Key features of ProactiveGuard include: Real-Time Risk Prediction : Uses machine learning models to analyze historical and real-time data, providing accurate predictions of failure probabilities. Geospatial Insights : Incorporates location-specific data to identify patterns and correlations between environmental conditions and equipment performance. Actionable Alerts : Generates risk levels (Low, Medium, High) and actionable recommendations to guide maintenance teams. Scalable Architecture : Built with a modular design to support integration with IoT devices, APIs, and third-party systems.

Forecasting algorithms for network prediction via simulated data, to integrate modern solutions (Satelitte ISPs) - for most people in the world. The solution is in python + using some google colabs. Github repository is available in : https://github.com/Synthapse/Network and Google Colab in https://colab.research.google.com/drive/1MGkMvDWOphm4Iyn8Kwq-_I2LyH07Khv9?usp=sharing#scrollTo=pSjoPXIHn2P7. There are a lot of potential cases for improving solutions - and feed it with real data. Cause the real network may contains more nodes- the solution contains only 217 nodes, that the separating via different kafka brokers and kubernetes will be supportive

In-Car AI Agents is an innovative project designed to make in-car artificial intelligence smarter and more responsive in offline scenarios. Currently, most AI-powered car assistants rely on internet connectivity to process commands, leaving drivers without key functionalities in areas with poor or no network coverage. Our solution aims to address this gap by deploying edge-based AI models that can function without Wi-Fi, allowing drivers to interact with their cars using voice commands for basic operations such as controlling the air conditioning, navigation prompts, and music playback. The system uses pre-trained voice recognition models and offline edge computing to deliver real-time responses to the driver’s requests, all processed locally. Additionally, the project explores simple computer vision tasks like lane detection, integrated to run without network dependency. Our vision is to make cars smarter, safer, and more autonomous without requiring constant internet access. By providing an MVP, we aim to showcase how AI in cars can be optimized for offline use, thus improving the overall driving experience in areas where internet connectivity is unreliable.

Introducing Social Swarm: Amplify Your Voice to the World Everyone has something meaningful to share, but in today's digital landscape, only a few manage to get their messages heard. The hurdles? Time-consuming content creation, specialized skills, and deciphering ever-changing social media algorithms. Enter Social Swarm—a revolutionary agent system that empowers everyone to share their thoughts effortlessly. Effortless Content Creation: Simply provide the subject or message you want to share, and our intelligent agents handle the rest. Engaging Posts: Utilizing advanced prompting techniques and an agentic workflow, Social Swarm crafts posts that are not only compelling but also optimized for engagement. Factual Accuracy & High Engagement: We validate all content for accuracy and assess its potential to engage your audience effectively. Continuous Learning: Through social media monitoring and user feedback, Social Swarm learns and adapts to become even more efficient at spreading your message. Unlock your potential and let your voice be heard with Social Swarm. Share effortlessly, engage authentically, and make an impact.

InsightFlow Pro is a powerful AI platform designed to revolutionize business knowledge management. 🌟 Leveraging IBM’s watsonx.ai, it automates 📄 document summarization, 🔍 insight extraction, and advanced search, transforming unstructured data into actionable intelligence. 🚀 Key Features: Industry-Specific: Tailored for finance 💰, healthcare 🏥, and legal ⚖️ sectors. For example, in finance, it extracts insights from market reports and regulatory documents. Real-Time Insights: Provides instant, actionable insights ⏱️, helping businesses stay ahead of trends and make informed decisions quickly. 💡 Seamless Integration: Easily integrates with CRM and ERP systems 🔄, enhancing existing workflows without disruption. Collaboration Tools: Supports team collaboration 🤝 with features for sharing, commenting, and refining insights. User-Friendly Interface: A simple, intuitive dashboard 🖥️ offers easy management of insights and reports, with adaptive learning that improves accuracy over time. 📈 Advanced Analytics: Offers detailed trend analysis 📊 and custom report generation to support strategic decision-making. Secure and Compliant: Ensures data security 🔒 and generates compliance reports to meet industry standards. 📑 Engagement Features: Gamified elements like “Insight Challenges” 🏆 and leaderboards 📋 boost user engagement and collaboration. AI Assistant: Includes a virtual assistant 🤖 to help navigate the platform and enhance user experience. Use Cases: Finance: Summarizes market and regulatory updates 💹 for strategic planning. Healthcare: Extracts key insights from medical research and patient data 🧬. Legal: Summarizes contracts and legal documents efficiently 📜. Business Impact: InsightFlow Pro increases efficiency ⚙️, enhances decision-making 🎯, and reduces costs 💸 by automating data processing, making it an essential tool for any business. 🔧

Basic Social AI App is a AI powered Social Media E-commerce app making very easy for users to build, sell and grow their brands or products. Powered with AI Social Media Search Engine and Advance Video Utility and Generation capabilities Brings E-commerce and Social Interaction under one roof. There 5 Billion social media users => Among them 500 Million Users use social media for earning [As creators]. Sadly,To start earning for a new user it takes 6 to 12 months of time, lots of strategy, initial efforts, lookout for collaborations, partnerships. Social.Earn is a platform where we have integrated AI Content Creation, Brands, products, in app store e-commerce. E-commerce industry in 4000 Billion $ and social media industry is 20 Billion $ market. But currently both operate in separated integrated way. We have build a robust tech for analyzing in-depth information about the objects in the videos (shorts or reels) and create a one click checkout process for the products endorsed in the video. We use TinyLlama for on device ultimate performance and accuracy for the user recommendations. Our state-of-art RAG pipeline integrated with knowledge Graph, which we call Relational Vector DB has outperformed the accuracy benchmarks for Social Media Search engine capabilities for our app. We are very excited and passionate to create a outbreak in way we shop with our E-commerce infused Social Media App Basic Social.

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 $10,000 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 $10,000 in USDC & $10,000 in 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!

🗓️ This will be a week of hacking and fun from 24 February to 3 March 💻 Create innovative new apps with OpenAI's latest AI tools 💡 Learn from top AI professionals ⚒️ Combine GPT-3, Codex, Dalle-2, and Whisper to build your AI app 🐱‍💻 Now is the time to register and let's get started!

🗓️ This 7-day virtual hackathon from January 27 to February 3 will be your time to shine! 💻 Construct AI apps with the latest LLM-powered technology from Cohere and try the newly released Multilingual Text Understanding model ✔️ There's no prerequisite level. Just starting out with AI? Or perhaps you're a veteran Data Scientist? A Designer? A Business Developer? We want you and your domain expertise! 🐱‍💻 Sign up now for free and let's get going!

🗓️ This will be a 5-days of hacking and fun from 10-14 March 💻 Build with the latest AI tools to create innovative new apps and solutions 💡 Work with top AI professionals and learn from them ⚒️ Create your AI app by combining different generative AI models 🎟️ 100 Free tickets to salz21 conference in Salzburg Austria - get them below ✅ Register now and let's get started!