Hello,

I'M Ratna Kowshik!

Web Developer| Artifical Intelligence & Data Science| Python| Java

Start Scrolling and take a look at my Portfolio,
and let's create something big together !
About

Hi there, I’m Ratna Kowshik Remalla a technology nerd who has cultivated a special interest in AI, data science, web development, machine learning, and computer science. I appreciate transforming complex problems into elegant, streamlined solutions whether I’m diving into the depths of web apps or machine learning and AI. Let me tell you my preferred tool. My favorite is? Excitement comes from Python and tackling real world tech challenges. What drives me most strongly is the belief that technology can change the world. This is what I aim to achieve, push boundaries, and bring innovative solutions to life.

For me, it is a matter of bridging the gap between real-time problems and the latest technology – whether that means optimizing code, or designing smarter, more efficient systems. To put it another way, think of me as your digital superhero, skilled in navigating the ever-changing world of tech with zeal. So join me on this ride. Together we’ll solve tech puzzles and push the limits of what is possible. And if you ever have to deal with any digital dilemma, do reach out, I am just a “Ctrl+S” away!


Education
  • Sep 2022 - Present
    Vel Tech University, Chennai

    B.Tech in CSE

  • 2020 - 2022
    Vignan Cooperative Juniour Collage

    Intermediate

My Skills

🛩️Web Development
🛩️Python

🛩️Java

🛩️C Language

🛩️SQL

🛩️Data Analytics

Created an AI-driven crop disease detection system 🌾🤖 using CNNs, transfer learning (ResNet, VGG16) 🔄, and Grad-CAM for explainability 📊. Deployed with TensorFlow Lite ⚡ and added an e-commerce module for seamless agricultural product purchasing 🛒.
Started an AI-driven sonar rock and mine detection project ⛏️📡, leveraging deep learning and advanced signal processing techniques. The system enables real-time analysis for accurate detection of rocks and mines, enhancing safety 🚧 and efficiency in mining operations. Integrated feature extraction and anomaly detection for precise and reliable results.
I’ve completed my personal portfolio website 🌐, highlighting my work in AI, machine learning, and deep learning 🤖. The site features detailed case studies, interactive demos, and showcases projects like eye disease detection 👁️, crop disease diagnosis 🌾, and more. It offers a seamless user experience 🎨, reflecting my expertise and passion for technology.
Currently working on an AI-powered eye disease detection project 👁️🤖, utilizing deep learning and CNNs to identify various eye conditions. Incorporating transfer learning (ResNet, VGG16) 🔄 and Grad-CAM for explainability 📊. The system is designed to assist healthcare professionals in early detection and diagnosis, improving patient outcomes through accurate, real-time analysis 🏥