Developed an interactive algorithm visualization interface demonstrating 5 sorting algorithms(Bubble, Selection, Insertion, Merge, Quick Sort) with step-by-step animations.

Built using HTML, CSS, and JavaScript, with no backend dependencies and 6+ interactive controls, achieving instant load times and enabling 100% offline accessibility directly in the browser.

Visualized sorting operations on arrays of up to 50-100 elements, clearly illustrating comparisons and swaps for better learning outcomes.

Makes abstract concepts more tangible.

Built a full-stack food delivery application using the MERN stack with modular and scalable architecture.

Otimized MongoDB schemas to efficiently manage 3+ core entities and handle with 100+ records with low-latency queries.

Ensured fully responsive UI across mobile, tablet, and desktop supporting 5+ screen breakpoints and improving user experience consistency.

Integrated cloud storage for food item image uploads and retrieval, managing 100+ image, improving content management and user engagement.

Used Python, Requests, and BeautifulSoup to extract 1,000+ structured records from websites.

Parsed and navigated HTML structures to collect 10+ data fields per page, including quotes and news headlines.

Automated data extraction workflows to handle large-scale datasets across 20+ web pages, improving data collection efficiency by 50%.

Stored the extracted data into external text files for easy access, further processing, and offline analysis.