
6
1
Pakistan
1 year of experience
I am currently pursuing a Bachelor of Science degree in Computer Science, where I am honing my skills in various programming languages and technologies. My academic journey is complemented by a deep interest in Data Structures and Algorithms (DSA), which I actively practice and improve through platforms like LeetCode. This combination of theoretical knowledge and practical problem-solving equips me to tackle complex challenges and develop efficient solutions. Key Skills and Interests: Programming Languages: Proficient in C++ and Python, with hands-on experience in HTML and CSS for web development. Data Structures and Algorithms: Dedicated DSA learner with a focus on mastering fundamental concepts to enhance my problem-solving abilities. LeetCode Enthusiast: Regularly solving coding challenges on LeetCode to sharpen my skills and prepare for technical interviews. Web Development: Building a solid foundation in web technologies, including HTML and CSS, to create responsive and user-friendly web applications. My passion for computer science drives me to continuously learn and grow. I am committed to leveraging my skills to contribute to innovative projects and collaborate with like-minded professionals. Whether itβs developing efficient algorithms or creating engaging web applications, I am always eager to take on new challenges and expand my horizons.

TravelBuddyAI is a smart travel assistant web application designed to help users plan their air travel quickly, efficiently, and affordably. The main goal of this project is to simplify the flight search process and assist users with relevant travel-related information using the power of artificial intelligence and user-friendly web technologies. This application allows users to input natural language queries like βWhatβs the cheapest flight from Lahore to Dubai?β, and it responds intelligently with helpful, personalized information such as flight options, estimated prices, and travel advice. The project aims to provide users with a smooth and engaging experience for finding the best travel routes, flight timings, and pricing, all from one simple interface. At the heart of TravelBuddyAI lies a question-answer-based system that responds to user queries using a Flask-powered backend. It interprets the userβs input and provides relevant travel recommendations. For example, users can ask about economy vs business class prices, the best time to book a flight, or compare airlines for a particular route. The frontend is developed using basic HTML, CSS, and JavaScript, ensuring a responsive and user-friendly interface. The user can type in their query in a text box and click on the βAskβ button. The application then communicates with the backend via an API and displays a response within seconds. Frontend: HTML5, CSS3, JavaScript Backend: Python with Flask API Communication: RESTful API using fetch (POST method) Cross-Origin Support: Flask-CORS to handle frontend-backend communication Templates: Jinja2 rendering for Flask
8 Jul 2025