Who Am I ?
Passionate web developer with a strong foundation in computer engineering and a keen interest in emerging technologies. Enthusiastic about exploring the latest industry trends and advancements. Beyond technology, I apply analytical skills to stock market analysis, assessing trends to make informed investment decisions. Driven by curiosity and a problem-solving mindset, I am eager to contribute to both the tech industry and financial markets.
What I know ?
A crucial scripting language for building dynamic and interactive web applications.
Serves as the foundational markup language, providing the structure & semantics essential for creating web content.
Enhances web pages by adding style and layout to HTML elements.
A versatile and readable language, favored for its simplicity and efficiency across various domains.
Recent Posts?
A Newari Food Detection System is a technological solution designed to identify and classify dishes from the Newari culinary tradition, originating from Nepal. It utilizes image recognition, ingredient analysis, sensor technology, and database integration to accurately recognize Newari dishes based on visual characteristics, ingredients, and other factors. This system could be deployed as a mobile app or web interface, providing users with information about recognized dishes and promoting the preservation and appreciation of Newari cuisine.
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A Devanagari Character Recognition System utilizes machine learning algorithms to accurately identify and interpret characters written in the Devanagari script, which is commonly used for languages like Hindi and Nepali. It enables tasks such as optical character recognition (OCR), converting printed or handwritten Devanagari text into digital formats. This system facilitates text processing, translation, and information retrieval, contributing to the digitization and accessibility of Devanagari-script content across digital platforms while preserving cultural heritage.
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Image colorization with GANs uses two neural networks: a generator and a discriminator. The generator creates colorized versions of grayscale images, while the discriminator distinguishes between real color images and fake colorizations. During training, they compete to improve the generator's ability to produce realistic colorizations. Once trained, the generator can colorize grayscale images accurately, offering a powerful tool for enhancing and restoring visual content.
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