Aya Al Obaidi@Aya_al_obaidi

Energy Consumption Predictor is a data-driven web application that enables users to analyze, compare, and forecast national energy usage trends across multiple countries. Leveraging historical datasets, ARIMA time-series forecasting, and optional multi-indicator comparisons, the system predicts energy consumption for the next five years with clear visualizations. The app integrates live data from the World Bank API and highlights unusual patterns or anomalies, allowing users to understand trends in context. AI-generated insights provide trend summaries, recommendations, and anomaly interpretations. Built with Streamlit, this project supports students, policymakers, analysts, and sustainability enthusiasts in making informed decisions and raising awareness about global energy demand.

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!