Krrish Yaduka@ky2803

Mirror AI is an AI-powered stress testing and security evaluation platform designed to help developers build safer, more reliable AI applications. As large language models become increasingly integrated into products and workflows, ensuring their robustness against malicious inputs, hallucinations, prompt injections, and security vulnerabilities has become a critical challenge. Our platform simulates real-world adversarial interactions by using multiple AI personas that attempt to exploit weaknesses in AI systems. Developers can connect their AI agents through REST APIs and launch automated stress tests against predefined or custom personas. Each interaction is analyzed using an AI-powered evaluation engine that measures response quality, detects hallucinations, identifies prompt injection attempts, evaluates security risks, and generates detailed reports. Mirror AI provides an intuitive dashboard for monitoring AI health, managing personas, running stress tests, viewing analytics, and exporting comprehensive reports. The platform also supports integrations with developer workflows, making it easier to identify vulnerabilities before deploying AI systems into production. Key Features: • AI-powered adversarial personas for realistic testing • Automated stress testing of AI agents • Prompt injection and jailbreak detection • Hallucination detection and risk scoring • AI health analytics and visual dashboards • Detailed security reports and recommendations • REST API-based integration for AI applications • Scalable architecture built for modern AI development Technology Stack: Frontend: Next.js, React, TypeScript, Tailwind CSS Backend: FastAPI, Python Database: PostgreSQL State Management: Zustand Deployment: Vercel & Railway Mirror AI enables developers and organizations to evaluate, secure, and improve AI systems through automated testing and actionable insights, ultimately increasing trust and reliability in production AI applications.

VitalFlow AI is a Band-powered Multi-Agent Clinical Intelligence System designed to transform clinical reports into timely care decisions. Healthcare institutions often struggle with delayed identification of critical cases, manual report triaging, inefficient doctor assignment, missed follow-ups, and compliance tracking challenges. VitalFlow AI addresses these problems through a collaborative network of specialized AI agents that automate the entire report-to-care workflow. The platform processes diagnostic reports, extracts medical findings, evaluates patient risk, prioritizes urgent cases, routes patients to the most suitable specialists, generates explainable recommendations, schedules follow-ups, and tracks compliance activities. The system consists of 10 specialized AI agents: • Report Intake Agent • Medical Analysis Agent • Patient History Agent • Knowledge Retrieval Agent • Risk Prediction Agent • Emergency Classification Agent • Explainability Agent • Doctor Routing Agent • Notification Agent • Follow-Up Scheduler Agent Key Features: • AI Risk Assessment • Intelligent Doctor Routing • Explainable AI Decisions • Follow-Up Management • Compliance Monitoring • Escalation Management Technology Stack: Frontend: Next.js, TypeScript, Tailwind CSS Backend: FastAPI, Python Database: MongoDB Deployment: Vercel & Render AI Layer: Band Framework Multi-Agent Architecture Impact: • Faster report processing • Better prioritization of critical patients • Reduced manual workload • Improved care coordination • Enhanced compliance visibility VitalFlow AI enables hospitals, doctors, administrators, and patients to benefit from a smarter, faster, and more transparent healthcare workflow.

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📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.