Built a Real-Time Weather Dashboard using HTML, Bootstrap, JavaScript, and OpenWeather API. It provides live weather updates including temperature, humidity, wind speed, and weather conditions 🌤️ for any city. The project includes search history, input validation, dynamic weather icons, and a dark mode toggle for a better user experience. Focused on API integration, DOM manipulation, and responsive UI design.

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I’m pleased to share our recent project: Smart Campus AI System, a comprehensive implementation of multiple Artificial Intelligence techniques integrated into a single automation framework. Throughout this project, we applied a wide range of AI methodologies, including graph search algorithms (BFS, UCS, A)* to optimize campus navigation systems. We further explored Constraint Satisfaction Problems (CSPs) using MRV and Forward Checking heuristics for efficient resource scheduling. In addition, we developed a logic and inference engine for eligibility verification to support decision-making processes within the system. To extend the system’s intelligence, we implemented an Artificial Neural Network (ANN) model for predicting request urgency and designed a custom request routing module to manage system workflow effectively. This project provided valuable hands-on experience in integrating multiple AI concepts into a unified, working system.

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Developed a Wumpus World Knowledge Base Agent using React, implementing AI-based logical reasoning, BFS exploration, and resolution-based inference for safe navigation in a dynamic grid environment. The system generates a configurable world with rows, columns, and number of pits, allowing users to customize difficulty and explore AI decision-making behavior in real time. It intelligently uses percepts (breeze & stench) to build a knowledge base and determine safe paths while avoiding pits and the Wumpus using logical inference. Live Demo: https://lnkd.in/dn9dvguP (https://lnkd.in/dn9dvguP)GitHub: https://lnkd.in/dHWh85pc

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Excited to share our MERN stack project, Hockey Gear MMU — a modern e-commerce web application developed using MongoDB, Express.js, React.js, and Node.js. Through this project, we gained valuable hands-on experience in backend development, RESTful API design, authentication systems, database management, and integrating frontend and backend architectures. One of the most rewarding aspects was implementing seamless communication between APIs and the React frontend to create a complete full-stack workflow. The application includes user authentication, product management, shopping cart functionality, order processing, admin dashboard operations, and automated email confirmations, providing a practical real-world e-commerce experience. GitHub Repository: https://lnkd.in/dD-qVWzd

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Muhammad Bin Talib Hussain

**Backend & Full-Stack Web Developer | Node.js, Express, Mon