Malik Shehram Khan@MalikShehram

ClimateGuard is an interactive Streamlit-based application designed to provide real-time weather data and livability insights for cities across the globe. By integrating GPT-5 intelligence, OpenWeather API, and other data sources, the app goes beyond simple forecasts to deliver livability projections, helping users understand how climate and environmental factors may impact daily life in different regions. The platform enables users to explore and compare cities, evaluate alternative locations, and make informed choices about travel, relocation, or long-term settlement. With a sleek interface, dark-themed visualizations, and easy-to-use controls, ClimateGuard combines GPT-5's AI-powered analysis and recommendations with weather intelligence, making climate decision-making more accessible, data-driven, and future-ready.

Our project is an AI-powered coding assistant called *Code Copilot*, designed to help programmers improve and understand their code more effectively. It is built using Python, Gradio for the user interface, and Blackbox AI (GPT-4) to provide intelligent coding responses. When a user pastes a piece of code or asks a coding question, the system sends that input to the AI model to generate helpful advice and explanations. At the same time, the app uses Python’s ast (Abstract Syntax Tree) module to deeply analyze the structure of the code by identifying how many functions, loops, and conditionals it has, and how deeply the code is nested. Based on this analysis, the app automatically generates suggestions such as simplifying nested logic, breaking large functions into smaller ones, or replacing basic loops with more efficient techniques like list comprehensions. Everything—including the AI response, code pattern analysis, and smart suggestions—is displayed in a clean, user-friendly interface. This makes Code Copilot a powerful tool for both beginner and experienced developers to write cleaner, more efficient Python code with real-time feedback.

AI code Commentor and Documentation Generator aims to remove headache to remove writing comments, documentation for developers which is real pain for some beginner level developers fellow, we come with idea where a user interface only requires a piece of code and AI will automatically provide comments, documentation, provides improvements if any and gives the time complexity. with more than 90% success rate, we present our project to lablab with plans to broaden the scope of project in future. we are using Trae.ai as our IDE, llma from novita ai and fast api to handle api request also serving a static html page to provide interface to users. we provide simple user interface, to generate comments and documentation at ease.

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Drive efficiency, automation, and innovation by streamlining workflows and integrating seamless processes. ⏳ You have 48 hours to complete the challenge and compete for prizes. 🚀 Learn and build AI solutions with IBM Granite. 💡 Create impactful solutions that drive smarter business operations. ⭐ Gain expert guidance throughout the hackathon. 🤝 Collaborate or work solo to bring your ideas to life. 💰 $10,000 prize pool for the winners! 🧑🏻‍💻 Sign up before the Kick-Off Stream and start shaping the future with IBM Granite!