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11
2
Pakistan
1 year of experience
Aspiring Data Engineer passionate about leveraging data to build innovative AI products. Currently enhancing my skills in machine learning to drive growth, efficiency, and intelligent automation. Excited to explore new technologies and turn ideas into impactful solutions!

Climate Policy Maker is an AI-powered platform designed to assist governments, NGOs, researchers, and local communities in creating actionable climate policies. The system integrates LLM APIs with real-time weather and climate APIs to analyze environmental conditions, predict short-term climate changes, and highlight potential hazards such as floods, droughts, heatwaves, or storms. Users can select any region worldwide and instantly receive data-driven climate forecasts, interactive maps, and hazard visualizations. Based on this information, the LLM generates tailored policy recommendations that address local environmental challenges, ensuring decisions are rooted in science and aligned with sustainability goals. One of the key features is the ability to export policies in a professional PDF format, making them suitable for official use by policymakers, universities, or climate organizations. Beyond policy creation, the tool can also be used for urban planning, disaster preparedness, climate education, and sustainability reporting. By combining AI, data visualization, and environmental science, Climate Policy Maker bridges the gap between raw climate data and practical, region-specific strategies to combat climate change.
24 Aug 2025

The world is rapidly moving towards digitization, but millions of schools in underserved or remote regions remain disconnected from the internet. This lack of connectivity limits students' access to information, opportunities, and choices, creating a significant divide in global education equity. To bridge this gap, our team has developed an SchoolBridge that focuses on three primary objectives: 1. Connecting Schools in Underserved Regions: Leveraging advanced data analytics and machine learning, our application identifies schools lacking internet connectivity and prioritizes them based on geographical, socioeconomic, and infrastructural factors. By doing so, it ensures every student has access to online resources, digital tools, and global opportunities for growth. 2. Predicting and Raising Procurement Requirements: The application provides actionable insights for procurement planning, predicting digital infrastructure needs such as servers, routers, and internet bandwidth based on the number of students in each school. This feature simplifies infrastructure provisioning, enabling efficient and cost-effective deployment in underserved areas. 3. Optimizing Network Lifecycles: SchoolBridge enhances the efficiency and sustainability of public sector networks by streamlining their planning, operations, and maintenance. This lifecycle optimization reduces downtime, minimizes costs, and ensures long-term reliability of digital infrastructure.
26 Jan 2025