Konrad Malilwe@konrad

RXPro is a python/streamlit-based AI pharmacy assistant powered by Gemini 2.5 pro, designed to enhance patient safety and streamline pharmacy operations. It integrates a point-of-sale system, inventory management, and customer/admin dashboards, while leveraging Google Gemini 2.5 Pro for AI-powered prescription analysis. The system detects potential adverse drug events, dosage errors, and interactions, issuing RED ALERTs for pharmacist review before dispensing. RXPro also generates receipts and counseling notes automatically. By combining AI inference with human oversight, RXPro ensures safe, efficient, and informed dispensing, making it an indispensable tool for modern pharmacies and enhancing overall patient care.

"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.

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.

Join the next edition of our flagship AI hackathon — now featuring Google, AppliedAI, and Qdrant as official partners, with over $45,500 in prizes and exclusive partner challenges. After an incredible launch earlier this year, we’re back with the next edition of our AI hackathon series leading up to the /function1 AI Conference & Exhibition in Dubai. Tap into the power of AI to innovate, build, and take your AI skills to the next level in this high-impact hybrid experience. 📅November 14–19, 2025 • Nov 14–18: Collaborate and build online with AI enthusiasts from around the world. All projects must be submitted by end of day on November 18 • Nov 18 (Dubai): An exclusive on-site build day at Festival Arena Dubai for selected participants. • Nov 19 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: On-site participation is by invitation only. Travel and accommodation will not be covered for selected participants. Further details will be shared with those accepted. 🧑🏻‍💻 Secure your spot now—sign up before the Kick-Off Stream!

Join us for an exclusive hackathon leading up to the /function1 AI Conference & Exhibition in Dubai (May 2, 2025) - a conference with one pivotal notion: to create a #1 platform for startups and founders of the AI field; to give them the spotlight they often lack, and represent the countless possibilities of Artificial Intelligence. 📅 April 25 – May 1, 2025 – Join us online and collaborate with global AI enthusiasts. 🌟 Expert mentors will guide you every step of the way. 🤝 Work alone or form a team to build something extraordinary. 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

🔍Create AI-driven, open-source solutions to optimize public sector network management in critical areas like predictive maintenance, total cost optimization (TOC), and energy efficiency—enhancing public sector networks' scalability, efficiency, and sustainability in underserved regions. 📅 Join us February 28–March 2, 2025: Participate online or in person in vibrant Barcelona, on the sidelines of MWC 2025, to collaborate with peers worldwide and shape the future of public sector connectivity. 👨‍🏫 Work alongside experienced industry mentors who will provide guidance and insights to elevate your solutions. 💰 $5,000 prize pool for the winners! 🏆 Compete for a chance to join the lablab NEXT incubator program! 🧑🏻‍💻 Don’t wait! Sign up now to secure your spot before the Kick-Off!