@nidhish_srivastava489

MediScan AI is a Multi-Agent Radiology Assistant built to streamline chest X-ray analysis and assist healthcare professionals with faster and more reliable diagnostic workflows. The platform combines medical computer vision, large language models, and agent orchestration to transform raw X-ray images into clinically meaningful reports. Unlike traditional AI systems that rely on a single model, MediScan AI uses a team of specialized agents working together. The Vision Screening Agent analyzes chest X-rays and identifies potential abnormalities such as pneumonia, pleural effusion, edema, and other thoracic conditions. The Clinical Reasoning Agent interprets these findings and generates a structured radiology assessment. A Safety Validation Agent reviews the generated conclusions to reduce hallucinations, verify critical findings, and improve reliability. Finally, the Report Generation Agent compiles patient information, diagnostic insights, confidence scores, and recommendations into a professional medical report. The platform provides transparent agent-by-agent execution, allowing users to understand how each stage contributes to the final result. By combining explainable AI workflows with specialized medical intelligence, MediScan AI helps bridge the gap between advanced AI capabilities and practical clinical decision support. Built using FastAPI, React, TorchXRayVision, Groq-powered LLMs, and a custom multi-agent orchestration framework, MediScan AI demonstrates how collaborative AI systems can improve efficiency, explainability, and trust in medical imaging workflows.

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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.