Nebula AI is an autonomous space mission control system designed to optimize satellite operations through cutting-edge artificial intelligence. It integrates advanced AI agents that proactively detect anomalies, dynamically allocate resources, and make real-time decisions to ensure mission success. By leveraging real-time telemetry data and predictive analytics, Nebula AI enhances system reliability, reduces operational risks, and minimizes human intervention. The system features real-time dashboards, simulation modules, and task scheduling agents to support complex missions like Saturn Orbit Insertion and Titan Flybys. Its adaptable architecture supports multi-satellite coordination, making it a future-ready solution for space exploration and commercial satellite management.

KaijuMaps and KaijuChat is a revolutionary AI-powered navigation and travel planning platform with an interactive chatbot designed to enhance decision-making and personalization. Using DeepSeek AI, it interprets user queries semantically, generating highly relevant, context-aware responses. Additionally, Camel-AI's multi-agent collaboration refines results by leveraging task-specific agents, such as travel planners or itinerary optimizers, to provide detailed, actionable insights. The system features a React-based interactive dashboard with real-time response updates, enabling users to plan trips, explore local attractions, and receive customized recommendations. With its robust architecture combining cutting-edge AI technologies, KaijuMaps is scalable across multiple domains like travel, leisure, solo-travelling, healthcare, business, and education. It's designed to save time, reduce complexity, and deliver unparalleled user experiences.

Industrial sectors face $864 billion in annual losses due to unexpected equipment failures, with 80% of breakdowns occurring due to undetected anomalies. Traditional AI models struggle with multi-dimensional failure detection, leading to inefficiencies and costly downtime. So, our team developed Freya—a quantum-enhanced predictive maintenance system that combines Quantum State Analysis, AI-driven scheduling, and IBM’s Granite 3.1-8b-instruct AI to predict and prevent failures before they happen. Freya analyzes sensor data in real time, detecting anomalies 48 hours in advance, optimizing maintenance schedules, and reducing downtime by 30%. Key Features: 🔹 Quantum-Enhanced Anomaly Detection – Detects failures invisible to traditional AI 🔹AI-Driven Maintenance Planning – Optimizes scheduling and resource allocation 🔹 IBM Granite AI Core – Industry-trained with 95% prediction accuracy 🔹 SaaS Model for Enterprises – Scalable solution for manufacturing, aerospace, energy, and smart cities By leveraging quantum computing principles and advanced AI, Freya transforms industrial maintenance from a reactive process into a proactive and cost-efficient strategy, ensuring maximum uptime and efficiency.