Saqib Shabbir@Saqiib

Introducing our AI-Driven Network Management System, a robust, intelligent platform designed for real-time monitoring, predictive maintenance, cost optimization, and energy efficiency. Leveraging advanced AI models such as PyOD and DeepAnT for anomaly detection, LSTM and XGBoost for predictive maintenance, Stable-Baselines3 reinforcement learning for dynamic resource allocation, and Bayesian optimization for reducing energy consumption, our solution transforms network operations. Automated AI agents continuously analyze sensor logs and metrics, resolving issues promptly and escalating complex cases when needed. This comprehensive system ensures scalable, resilient, and efficient network performance while minimizing operational costs and environmental impact through intelligent, automated decision-making processes for excellence.

🔍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!