In this project, we will study how to manipulate and extract data from PDF files, such as text and images, and combine multiple PDF files into a single document.

In this project, we will be utilizing the capabilities of the Natural Language Toolkit (NLTK), a versatile and comprehensive library in Python designed for working with human language data. Our focus will encompass several core areas of natural language processing: tokenization, stemming, tagging and parsing. These NLTK features will form the backbone of our text processing and analysis tasks, making it an essential tool in our project for handling and extracting meaningful insights from language data.

Unlock the power of regular expressions in Python with our comprehensive course designed for both beginners and experienced developers. This course will take you through the essential functions of the re module, including search, findall, finditer, and more, using practical examples and hands-on exercises. You'll learn how to extract and manipulate text data efficiently, enabling you to tackle complex string processing tasks with confidence. Whether you're looking to enhance your data analysis skills or streamline your coding workflow, this course provides the tools and knowledge to master regular expressions and elevate your programming capabilities.

In this project, we are going to understand how to handle Date and Times in Python.

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

Building Web App with AI is a hands-on course designed for creators, educators, and professionals who want to build and customize real web apps - without needing to become programmers. This course guides you through using AI tools to generate working code for modern frontend applications using React and Next.js. You'll learn how to describe features like task forms, filters, and status indicators in plain language, then convert those ideas into functioning components with the help of AI. Through step-by-step projects, you’ll create a fully working task management app with polished styling using DaisyUI, complete with interactivity, data persistence, and responsive layout. Whether you're organizing your own workflow or prototyping a future product, this course shows you how to turn ideas into apps using AI - with zero prior coding experience required. By the end, you’ll have a live, customized web app and the skills to build more.

Data Analysis with AI is a hands-on course designed for professionals who want to simplify and supercharge their data workflows using artificial intelligence—without needing advanced technical skills. This course walks you through real-world scenarios where AI helps clean, structure, and interpret data effortlessly. You'll learn how to summarize datasets, identify trends, extract insights from spreadsheets. With intuitive tools and step-by-step guidance, Data Analysis with AI empowers you to turn complex data into clear, actionable intelligence—saving time and improving decision-making across any industry.