Ariyo Adedeji Usman@ariyo_adedeji_usman243

Our idea focuses on optimizing IT infrastructure and data center management by predicting maintenance needs. The project uses metrics like CPU load, storage utilization, and temperature to assess risk levels and determine when maintenance is required. By analyzing these metrics, the system predicts the next service date, ensuring high availability of critical systems, reducing downtime, and preventing server crashes. The interactive tool, built using Python and Gradio, provides a user-friendly interface for IT managers to make informed decisions and streamline operations. Our AI-powered tool predicts maintenance needs based on key metrics. This prevents downtime, improves performance, and saves costs by enabling proactive action.

🕒 6 days to explore the full potential of GPT-5 💡 Build next-gen AI apps 🤝 Compete solo or form a dream team 🚀 Connect with global innovators 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!

🔍Create AI-driven solutions using open-source technologies to optimize public sector network management—planning, procurement, and maintenance—for scalable, sustainable school connectivity in underserved regions. 📅 Join us January 24-26: Participate online or in person in Geneva to develop innovative solutions with peers globally. 👨‍🏫 Work alongside industry mentors for insights and guidance on your projects. 🏆 Compete for a chance to join the Lablab NEXT incubator program! 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!