🌱 Currently diving deep into Web & Mobile App Development, AI/ML Model Development, and Data Science to expand my knowledge and build impactful solutions.
👨‍💻 Explore all of my projects on my Personal Website, showcasing my learning journey.
📫 Feel free to reach out at [email protected] – always excited to connect and explore new opportunities!

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Explanation:

• HTML5: Used to structure content on the web with a set of tags for elements like text, images, and links.
• CSS3: Used for styling HTML content, adding design elements such as layout, colors, and fonts.
• Bootstrap: A front-end framework for faster and easier web development, providing pre-designed templates for UI components.
• Tailwind CSS: A utility-first CSS framework that allows for rapid UI development with customizable design elements.
• ReactJS: A JavaScript library for building user interfaces, particularly for single-page applications (SPAs), with reusable components.
• NextJS: A React framework for building server-side rendering (SSR) apps, static websites, and more with optimal performance.

Explanation:

• MySQL: A popular relational database management system for storing and retrieving data, supporting SQL (Structured Query Language).
• ExpressJS: A lightweight framework for building Node.js web applications, simplifying server setup and routing.
• Flask: A micro web framework for Python that is simple and lightweight, ideal for building small to medium-sized applications.

Explanation:

• Flutter: A UI toolkit for building natively compiled applications for mobile, web, and desktop from a single codebase.

Explanation:

• Pandas: A Python library for data manipulation and analysis, providing data structures like DataFrame for handling structured data.
• Scikit-learn: A machine learning library for Python, providing simple and efficient tools for data mining and data analysis.
• TensorFlow: A popular open-source library for machine learning and deep learning, offering tools for building and training neural networks.
• Seaborn: A Python visualization library built on top of Matplotlib, providing a high-level interface for creating attractive statistical graphics.
• NumPy: A core library for scientific computing in Python, providing support for large multi-dimensional arrays and matrices, along with a collection of mathematical functions.

Explanation:

• Figma: A cloud-based design tool for UI/UX design, allowing collaborative design processes with real-time editing.