LOGANATHAN

kutty

About

Hi, I'm Loganathan šŸ‘‹ from Vellore, currently pursuing my BCA šŸŽ“ at DSU College, Bangalore. I'm a passionate and well-rounded web 🌐 and mobile app šŸ“± developer with strong coding skills šŸ’» and a creative mindset šŸŽØ. I specialize in building modern, user-friendly digital solutions that blend functionality and style. I'm also skilled in photo šŸ“ø and video editing šŸŽž, adding visual impact to my work. My creative content has attracted over 10K followers šŸ‘„ on Instagram. I enjoy transforming ideas šŸ’” into smooth, interactive experiences šŸš€ and am inspired by technology, design, and innovation āš™. I believe in continuous learning šŸ“š, pushing limits, and growing every day. With passion and purpose, I’m ready to shape the digital future šŸ”„.

My photo

mobile & Web Developer.

Passionate And Detall-Orlented BCA Student Mobile And Web Developer With Hands-On Experience In Web Development, Learning, And Computer Vision. Skilled In HTML, CSS, JavaScript, Python. Proven Ablilty To Bulld Responsive Websites And Al-Based Systems. Seeking To Leverage My Technical Skills And Creative Mindset To Contribute To Innovative Mobile And Web Developer Projects And Become A Full-Stack Developer

  • Birthday: 08 april 2008
  • Website: loganathan.site
  • Phone: 7010123479
  • City: bangalore
  • Age: 17
  • Degree: BCA
  • Email: loganathan082008@gmail.com

Skills

my skills

HTML 60%
CSS 50%
JavaScript 55%
PHP 50%
Python 80%
My sql 90%

PROJECTS

Projects | Loganathan

Weather Analysis

Real-time weather and climate data analysis using APIs and visualization tools.

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Xyntra

Smart multilingual Xyntra chat.

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Chat Application

WhatsApp-like Java chat app with real-time messaging and voice messaging.

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Exam Face Recognition

A robust AI-based proctoring system using facial recognition to verify and monitor candidates during exams.

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Ai-meme_generator

AI Meme Generator is a smart tool that creates hilarious memes by combining AI-generated captions.

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Face-Attendance-System

Face Recognition Attendance System by identifying faces using real-time facial recognition technology.

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