ArmonIA: AI-Driven Health Monitoring for Astronauts ArmonIA is an AI-powered health agent designed to monitor astronauts' cognitive and physiological states in real-time, ensuring their well-being in extreme space environments. By integrating EEG-based monitoring with physiological data analysis, our system detects stress, cognitive overload, and potential health risks, enabling timely interventions. Leveraging advanced machine learning models, ArmonIA processes brain wave patterns and biometric signals to provide astronauts with continuous insights into their mental and physical health. Embedded within a user-friendly web platform, it grants both astronauts and mission control access to real-time analytics, personalized health recommendations, cognitive state visualizations, and alerts for abnormal conditions. Through predictive analytics and adaptive feedback mechanisms, ArmonIA optimizes workload management, stress reduction, and cognitive performance, enhancing astronauts' resilience. By mitigating the risks associated with cognitive and physiological strain, our AI-driven solution safeguards both individual well-being and mission success.
9 Feb 2025
SafeEdge is an AI-driven content moderation solution designed specifically for educational platforms. Leveraging advanced AI models, our tool operates entirely offline on edge devices such as tablets, laptops, and IoT devices, ensuring robust performance even in environments with limited or no internet access. The architecture of SafeEdge consists of several key components: Synthetic Data Generation: We use OpenAI's Meta-Llama-3.1-70B-Instruct-Turbo model to generate synthetic training data tailored to specific content moderation categories such as spam, inappropriate content, and misleading information. Fine-Tuned Model: The generated data is used to fine-tune the Phi-3-mini-4k-instruct model. This fine-tuned model is lightweight, optimized for edge devices, and includes specialized LoRA adapters for efficient inference. Edge Deployment: The fine-tuned model is deployed locally on devices using a Streamlit-based application. This application is designed to work entirely offline, providing real-time text categorization and content filtering without relying on external APIs or cloud services. Privacy and Security: By processing all data locally, SafeEdge ensures that user information remains private and secure. The architecture is robust, cost-effective, and highly customizable, allowing it to adapt to various educational environments and needs. This combination of advanced AI, local deployment, and a focus on privacy makes SafeEdge an ideal solution for creating safe, secure, and inclusive online learning environments globally.
23 Aug 2024
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