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Logeshwaran-KS/README.md

Hi there, I'm Logeshwaran! πŸ‘‹

Welcome to my digital space on GitHub! I'm driven by a creative passion for leveraging AI to tackle complex challenges and build innovative solutions. My journey in tech has been a blend of exploring cutting-edge technologies, mastering problem-solving, and contributing to projects that seamlessly integrate functionality with artistry.

🧩 My Tech Stack

Languages & Frameworks

Python Java C Angular TypeScript JavaScript Flask

Tools & Platforms

Git GitHub Docker CI/CD Netlify Vercel

Databases & Artificial Intelligence

SQL MongoDB Deep Learning Machine Learning

πŸš€ Featured Projects

πŸ“š College Project

College Project Repo

🌳 Leaf Disease Detection

Leaf Disease Repo

🌿 Medicinal Plant Detection

Medicinal Plants Detection - ML   Medicinal Plants Detection - DL   Explore the Website - Static

🧠 Brain Tumor Segmentation

Explore the Repo

β›ˆοΈ Weather Application (On-Going)

Weather App Repo   Website -Yet to be hosted

πŸŽ“ My Learning & Development

  • Angular & Flask: Enhancing my skills in building dynamic web applications and robust backend systems using these powerful frameworks.
  • Deep Learning: Exploring advanced neural networks and techniques to develop sophisticated models for various applications.
  • UI/UX Design: Designing intuitive and aesthetically pleasing interfaces to create seamless and engaging user experiences.

πŸ“° Publications

  • Brain Tumor Segmentation Using Gaussian Based U-NET Architecture - Link
  • Improved Brain Tumor Segmentation Using UNet-LSTM Architecture - Link

πŸ“« Let's Connect

I'm always open to new ideas, collaborations, and challenges. Let's create something amazing together!

Pinned Loading

  1. Medicinal-Plants-Detection-Using-Machine-Learning Medicinal-Plants-Detection-Using-Machine-Learning Public

    Medicinal Plants Detection

    Jupyter Notebook 2

  2. Medicinal-Plants-Detection-Using-Deep-Learning Medicinal-Plants-Detection-Using-Deep-Learning Public

    Identification of Medicinal Plants Using Xception

    Python 3