A seam carving application for content-aware image resizing.

Seam carving is a content-aware image resizing technique that intelligently identifies and removes the least important pixels from an image, allowing for non-uniform scaling while preserving important content.

Key Features:
Content-Aware Resizing:Seam carving adapts to the content of an image, preserving important features and details during the resizing process.
Real-time Visualization: The project includes animated GIFs that vividly illustrate how seams are intelligently carved from the image, with red lines highlighting the pixels being removed.
Vertical and Horizontal Carving: Seam carving is performed in both vertical and horizontal directions, providing flexibility in adjusting the image size based on specific requirements.
Energy Visualization:Explore the energy visualization of the image, showcasing the algorithm's understanding of the importance of each pixel in the context of its surroundings.
Efficiency and Optimization: The project includes optimizations to enhance the efficiency of the seam carving process, ensuring a smoother experience even for high-resolution images.
Technologies Used: Programming Language: Python
Libraries: NumPy, PIL (Pillow), tqdm

An interactive full-stack weather application built with Svelte and Node.js, providing users with real-time current weather and trihourly forecasts based on their location search.

Key Features:
Weather Data Retrieval: Seamlessly fetch real-time weather information using OpenWeatherAPI, providing users with current conditions and trihourly forecasts based on their location search.
User-Friendly Interface: Intuitive design and interactive components offer a seamless user experience, making it easy to search for weather updates and visualize trihourly forecasts.
Error Checking: The app ensures data accuracy by validating user input for city and state, providing feedback on invalid entries and ensuring reliable weather updates.
Efficient Backend Processing: Utilizing Node.js on the server side, the app optimizes the retrieval and processing of weather data, ensuring efficiency and responsiveness.
Technologies Used: Programming Languages: Svelte (Frontend), Node.js (Backend)
Libraries: Fetch API, Express, Svelte Store, Node-fetch