Konrad Malilwe@konrad

Connectivity without Sustainable Energy Access is usually Dead on Arrival. Our idea is based on using AI Agents to help solar energy consumers in underserved areas learn and track CO2 offsets to earn connectivity credits that can be redeemed in form of SMS, Voice & Data microbundles. The ICARUS AI Bot is designed to abstract away from the complexities of photovoltaic based carbon offsetting models and carbon credits based on GHG emissions avoided by using solar energy. The AI helps users to redeem connectivity on demand in form of Data & SMS or voice on a gamified platform, while incentivizing sustainable living and digital inclusion in off-grid communities and disrupting the $1.5Trillion Carbon markets at the same time. This model is tailored to augment the rising adoption of abundant solar energy in southern Africa which has been hit with a 1200MW drought induced Hydropower deficit.

"intelligent solar network to bridge the connectivity gap in offgrid and rural areas by directly embedding AI agents in individual solarnodes powering rural communities where traditional AI models struggle to adapt in real-world rural environments, often failing to capture the localized needs of underserved communities. Instead of relying on pre-trained ML models, our approach deploys AI agents directly into rural areas, embedded within solar infrastructure. These agents interact with communities, collect real-time data, and provide adaptive insights to optimize school connectivity solutions. Our solution transforms solar units into intelligent AI nodes that serve both as energy hubs and data-driven connectivity enablers. Upon installation, each solar node activates an embedded AI chatbot that interacts with users, gathering hyperlocal insights to inform infrastructure planning. Through the Battery API, the system monitors energy usage, charging patterns, and device health, using predictive analytics for preventive maintenance—reducing downtime and ensuring long-term reliability. Data is sent to a centralized analytics dashboard, allowing decision-makers and partners like GigaSchools to access insights via API integration. By embedding AI-powered intelligence directly into solar networks, we create a self-sustaining system where energy access fuels digital inclusion, ensuring that rural schools and communities remain connected and empowered. "

Core Idea IRIS AI Caregiver AIs are designed to provide empathetic support and guidance to caregivers, patients, and families navigating palliative end of life care. By using cutting-edge AI, computer vision, and natural language processing, IRIS AI creates a personalized, compassionate, and intuitive support system. *Key Objectives* 1. *Emotional Support*: Offer emotional comfort and reassurance to caregivers, patients, and families. 2. Personalized Guidance Provide tailored guidance and recommendations for caregiving, symptom management, and end-of-life care. 3. *Care Coordination*: Facilitate seamless communication and coordination among caregivers, healthcare professionals, and family members. 4. Respite and Relief: Offer respite and relief to caregivers, reducing burnout and improving overall well-being. Innovative Approach IRIS AI Caregiver AIs combine: 1. *Edge AI*: Enables real-time processing and analysis of sensitive data. 2. Computer Vision: Analyzes human movements, facial expressions for better help and illness progression tracking using CXR & CT image analysis 3. Natural Language Processing: Understands and responds to emotional cues, concerns, and questions. 4. Bidirectional Intelligence Hierarchy: Facilitates continuous learning, adaptation, and improvement. By integrating these technologies, IRIS AI Caregiver AIs can simulate a Hospice support ecosystem, empowering caregivers, patients, and families to navigate the complexities of palliative care with compassion, dignity, and hope.