Technologies Used: MERN Stack (MongoDB, Express.js, React.js, Node.js), Web Scraping

Description: Developed a dynamic web application to automate the generation of educational content tailored to different academic levels. The application leveraged web scraping to extract and structure data from various sources.

Key Achievements:

Built a robust, full-stack web application with real-time data structuring capabilities.

Implemented efficient web scraping with Node.js to gather content based on academic levels and chapters.

Delivered a responsive, scalable solution with a seamless user interface.

Impact: Enabled educators to save significant time by automating content creation, improving accessibility to structured learning materials.