Shah Shazid Askary@shah-shazid-askary

NexusMind is an AI-powered knowledge management platform designed as a next-generation alternative to Graphy. It solves the core shortcomings of existing tools by combining an interactive knowledge graph with local LLM integration, semantic search, and a futuristic dark metallic interface. The platform allows users to create knowledge nodes (notes, research, meetings, code snippets, articles), automatically link them via AI-suggested connections, and visualize relationships through an interactive Plotly graph. Every node can be summarized using Ollama Cloud (Gemma 4) or HuggingFace inference, and users can ask natural language questions across their entire knowledge base through a built-in RAG pipeline. Key features include: (1) Node CRUD with rich metadata — title, content, type, tags, timestamps; (2) Interactive graph visualization with pan, zoom, and hover details; (3) AI-powered summarization with adjustable output length; (4) RAG Q&A chat that retrieves relevant context before generating answers; (5) Auto-tagging suggestions via LLM; (6) Smart link recommendations based on content similarity; (7) Full-text search across titles, content, and tags; (8) Sharp 90° metallic UI with gold/silver/white accents for a premium feel. Built with Streamlit, SQLite, Plotly, and integrated with Ollama Cloud + HuggingFace Inference API. The entire app runs in a Docker container on HuggingFace Spaces, making it instantly deployable and accessible. NexusMind keeps data under user control while delivering AI insights — no proprietary lock-in, fully functional AI features, and a modern interface that actually works.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: Onsite Build Day. May 20: Demo Showcase & Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

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.