Najmi Hassan@Najam-ul-Hassan

The problem Phishing is still the top entry point for cyberattacks, and modern phishing no longer looks like phishing. It is personalized, well written, and plausible. Worse, the tools meant to protect us do not explain themselves. A spam filter silently files a message away, so the user never learns which parts were dangerous, why, or what to do next. Security expertise does not scale to every inbox, and a binary label does not create it. The solution CyberShield AI is an explainable threat analysis workspace. The pipeline is: message input, AI classification, risk score and threat type, explainability layer, highlighted indicators, recommended response. Paste a suspicious message and a terminal panel streams the analysis live. The verdict appears with a risk ring and confidence bar. Then the key moment: the original message reappears with every suspicious fragment highlighted in place. Hover any highlight to see exactly why it was flagged, whether a look-alike domain, a credential request, or manufactured urgency. Concrete actions follow: quarantine, block sender, reset credentials, report. Use of Fireworks AI Fireworks is our entire inference backbone. DeepSeek V4 Flash is the primary analyst, chosen because our task is classification plus evidence extraction plus reasoning in one call. We use Fireworks structured JSON outputs to force every response into a strict schema, giving fine-tune-grade reliability without fine-tuning. A second model, GPT-OSS 120B, acts as an LLM judge: it reviews the draft verdict, corrects the risk score, and drops any indicator not present verbatim in the message. Use of AMD Every inference call runs on AMD MI300X GPUs via Fireworks. The MI300X memory capacity is what makes serving a 120B judge model affordable, which is what makes our two-model architecture possible. Because we built on open-weight models, our enterprise roadmap is private on-premise deployment on customer-owned AMD GPUs, so sensitive email never leaves their network.

LUMEN is an end-to-end autonomous research agent built on a multi-agent AI pipeline. Given any research topic, LUMEN deploys five specialized AI agents in sequence — each with a distinct role — to produce a comprehensive, cited research report in minutes. The pipeline works as follows: a Planner Agent breaks the topic into focused research questions, a Search Agent finds credible sources using Tavily web search, an Extractor Agent pulls key facts and insights from each source, an Analyst Agent synthesizes findings and identifies research gaps, and finally a Writer Agent produces a clean, structured markdown report complete with an executive summary, key findings, evidence mapping, and citations. Built with CrewAI for agent orchestration, Qwen via Groq for language model inference, and Tavily for AI-optimized web search, LUMEN runs entirely on free-tier APIs with no hardware required. The Streamlit interface provides real-time agent progress tracking, showing users exactly which agent is working at any moment. Reports can be exported as Markdown, Word (.docx), or LaTeX, and published directly to Hugging Face Spaces. LUMEN demonstrates how agentic AI workflows can automate complex knowledge work — turning a single topic sentence into a publication-ready research document, fully autonomously.

"Receipt Parser Pro" revolutionizes expense tracking by leveraging the power of Google's Gemini AI. Simply connect your Notion workspace, then drag-and-drop your receipt images into the uploader. The app initiates a powerful two-step AI process: first, it uses Gemini's vision capabilities for highly accurate text extraction (OCR). Then, it feeds this text back to the AI with a specific schema to intelligently identify and structure key information—merchant, date, total, and a detailed list of items with quantities and prices. This structured data is then automatically saved as a new entry in your designated Notion database, eliminating tedious manual data entry forever. A real-time dashboard provides transparent updates on each receipt's journey, from processing to successful storage. This client-side application ensures your data is handled securely, offering a seamless and efficient way to keep your financial records impeccably organized and easily accessible.

Virtual Bio Lab is a cutting-edge AI-driven platform designed to revolutionize how biological research is conducted. By using a coordinated team of specialized AI agents, it simulates laboratory experiments, organizes and analyzes data, and produces comprehensive scientific reports — all without the cost or delay of traditional wet-lab work. This approach reduces expenses by up to 95 percent and accelerates discovery from weeks to minutes. With applications for students, startups, and research institutions, Virtual Bio Lab supports drug screening, protein purification, PCR optimization, and more. It combines scalability, reproducibility, and advanced analytics to transform life sciences research.

AI-Powered English Learning Assistant is a comprehensive educational platform designed for Pakistani secondary school students (grades 9-12) to address limited access to quality English education and digital distractions during learning. Built with Streamlit and GPT-5 technology, the platform offers three core modules: interactive grammar learning, structured practice exercises, and comprehensive assessments. It covers essential concepts including tenses, active/passive voice, and direct/indirect speech with bilingual Urdu-English support and culturally relevant examples. The AI generates personalized content, creates grade-appropriate practice questions, and provides instant feedback with detailed explanations. Students can track progress, download reports, and follow structured learning paths from basic to advanced concepts. Designed for deployment in remote schools with limited digital access, the platform offers an affordable alternative to expensive tutoring. Features include simple interfaces, offline capabilities, and distraction-free environments that keep students focused on educational goals. Our vision extends to institutional impact through school-wide deployments, teacher dashboards, and curriculum integration. This scalable solution aims to improve English proficiency across Pakistan's underserved student population, contributing to better educational outcomes and global job opportunities.

Fashion.AI is an intelligent, multimodal fashion e-commerce platform designed to revolutionize how users shop for clothing and style inspiration. Leveraging the power of agentic AI and advanced reasoning models, users can engage with the system via a conversational chatroom using text, images, or voice input. Unlike traditional search engines, Fashion.AI uses deep context awareness, object detection, and vector-based product matching to understand nuanced fashion queries such as: “Show me jackets similar to this one but in pastel tones, and suggest stores nearby.” The platform features an AI assistant that opens into a full-screen chatroom where the entire interaction happens. Here, the AI reveals its step-by-step thought process—analyzing queries, identifying visual elements, searching current trends, and surfacing product recommendations, all while allowing the user to chat, refine, and take action interactively. The homepage also showcases trending fashion items to keep users inspired even before querying the AI. All personalized suggestions, filters, maps, and style breakdowns remain fully contained within the chatroom, preserving a clean and focused UI. Fashion.AI bridges intelligent reasoning and real-time style discovery, offering an innovative blend of fashion, technology, and user experience.

GeneGazer is your bioinformatics copilot for single-cell data — an interactive web application built with Streamlit, Scanpy, and Google Gemini AI to simplify and accelerate single-cell RNA-seq analysis. It supports common data formats (.h5ad, .csv, .mtx) and automates essential preprocessing steps including normalization, dimensionality reduction (PCA, UMAP), and clustering. Users can explore UMAP-based cluster visualizations, inspect gene expression heatmaps, and discover top marker genes for each cluster. What makes GeneGazer unique is its integrated Gemini-powered AI assistant, which provides real-time, context-aware bioinformatics support tailored to the loaded dataset. Whether you’re analyzing immune cells, tumors, or brain tissue, GeneGazer bridges the gap between computational analysis and biological insight — making high-throughput data exploration accessible to everyone.

AstroMind: Your AI-Powered Space Mission Assistant 🚀 AstroMind is an educational AI assistant designed to make space exploration fun and interactive. It consists of multiple AI agents that work together to fetch real-time space facts from NASA, ESA, and SpaceX, generate sci-fi stories using real space data, simulate space missions with detailed blueprints, and suggest relevant space visuals. By integrating these capabilities, AstroMind provides an engaging learning experience for students, educators, and space enthusiasts. Whether you're exploring Mars rover data, crafting a sci-fi adventure, or planning a mission to Jupiter, AstroMind brings the wonders of space closer to everyone through AI-powered storytelling and simulations.

Launch AI is revolutionizing the startup ecosystem by offering a cutting-edge platform tailored for student-founders. Our AI-driven tools, namely the Dashboard, the MVP builder and the User Feedback Analyzer, streamline the startup journey, enabling rapid iterations and precise market validation. Launch AI's Dashboard provides a dynamic digital presence for startup ideas, evolving with new insights and feedback. By addressing the critical challenge of speed, we empower student-founders to focus on innovation rather than getting bogged down by business complexities. Our vision is to make Launch AI an essential part of every startup's launch journey. Join us in transforming how startups are launched and be part of the future of innovation.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.

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.

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