Muhammad Zain ul Aabedin@Zain2180

Tech for good > Lack of information about moments that could suddenly start a war, rebellion, natural disaster, or even a new pandemic. Geo-political tensions are creating hostile and dangerous places to stay; the ambition of pharmaceutic industry could generate another pandemic "man-made"; channels of safe news are necessary that promote more hope than fear. Create a trend system identification that forecast where and when will happen rebellions, a pandemic, natural catastrophe, or war, combining different subjects like geo-political, environmental, and social development - collecting and crossing data like emotional factors, laws creation, government satisfaction, local and international news, and many others. The main point is to move the population before happening disasters or offer proper informational tools to decide where/when go out!

This project proposes an AI-powered smart grid management system to address inefficiencies in traditional grids. By utilizing machine learning to forecast energy demand and optimize distribution in real-time, the system can: - Reduce energy waste by intelligently balancing supply and demand. - Minimize reliance on fossil fuels by seamlessly integrating renewable energy sources like solar and wind power. - Contribute to a more sustainable and resilient energy infrastructure for the city. This project leverages machine learning, optimization algorithms, and big data analytics to create a smarter, cleaner, and more efficient urban energy landscape.