REHAN AFZAL@Rehanafzal

We have made a dataset by translating the research paper into Urdu language and then deploy it on AYA web application and check the accuracy of our language proficiency with prompts of Chatgpt 3.5 and Gemini Model We have made a dataset by translating the research paper into Urdu language and then deploy it on AYA web application and check the accuracy of our language proficiency with prompts of Chatgpt 3.5 and Gemini ModelFrom online services like Netflix and Facebook, to chatbots on our phones and in our homes like Siri and Alexa, we are beginning to interact with artificial intelligence (AI) on a near daily basis. AI is the programming or training of a computer to do tasks typically reserved for human intelligence, whether it is recommending which movie to watch next or answering technical questions. Soon, AI will permeate the ways we interact with our government, too. From small cities in the US to countries like Japan, government agencies are looking to AI to improve citizen services. While the potential future use cases of AI in government remain bounded by government resources and the limits of both human creativity and trust in government, the most obvious and immediately beneficial opportunities are those where AI can reduce administrative burdens, help resolve resource allocation problems

In extreme environments like space missions or disaster-stricken areas on Earth, resource depletion and health deterioration can quickly become life-threatening. Astronauts and emergency responders need real-time intelligence to assess survival conditions and take immediate action. ARMS (Autonomous Resource Management System) is an AI Agent designed to autonomously track, analyze, and optimize survival resources. It continuously monitors oxygen levels, food supplies, power availability, communication signals, and astronaut health data (heart rate, oxygen saturation, stress indicators). Using machine learning-driven predictive analytics, ARMS calculates the estimated survival time based on resource consumption rates and physiological conditions. When survival estimates fall below a safe threshold, ARMS proactively triggers automated alerts to mission control or local response teams, enabling rapid interventions. This AI-driven approach ensures real-time situational awareness, minimizing risks and optimizing life support strategies. Beyond space exploration, ARMS is scalable for terrestrial emergency scenarios, including natural disasters, refugee crisis management, remote medical operations, and military crisis response. By integrating AI-powered resource optimization and survival prediction, ARMS transforms emergency preparedness, making life-saving decisions faster and more effective across diverse environments.