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FahithKRM/README.md

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Hi there! πŸ‘‹ I'm KRM Fahith

Motivated Computer Engineering Student passionate about Full-Stack Development, Machine Learning, and creating impactful projects.
I love contributing to open-source projects and exploring cutting-edge technologies.


πŸš€ About Me

  • πŸŽ“ Pursuing BSc.Eng (Hons) in Computer Engineering at University of Jaffna.
  • 🌐 Interested in Full-Stack Development, Machine Learning, and AI.
  • πŸ“± Exploring React Native for mobile app development.
  • πŸ› οΈ Enthusiastic about solving real-world problems with code.

πŸ”§ Skills & Tools

🌐 Web Development:

React Node.js Next.js CSS Tailwind CSS Bootstrap

πŸ“± Mobile Development:

React Native

πŸ’» Programming Languages:

Python JavaScript C++

🧠 Machine Learning & AI:

Scikit Learn TensorFlow OpenCV

πŸ› οΈ Tools:

Git GitHub Visual Studio Code


πŸ“ˆ GitHub Stats

KRM Fahith's GitHub Stats Top Languages


πŸ“ž Connect with Me


πŸ’‘ Featured Projects

  • Built with MERN Stack.
  • Features: Secure authentication, responsive design, and admin panel.
  • Created using React, Node.js, and MongoDB.
  • Features: User authentication, order management, and admin panel.
  • Built with MongoDB, Next.js, REST APIs, Git, Postman, Tailwind CSS.
  • Features: User authentication, post creation, editing, and deletion with a clean and responsive user interface.
  • Built with Python, Pandas, Random Forest Regressor, Streamlit, Scikit-learn, Matplotlib, Numpy.
  • Features: Data analysis, handling missing values, feature engineering, and regression modeling for accurate predictions.
  • Built with Python, Pandas, Scikit-learn, Random Forest Classifier, Seaborn, Streamlit, Pillow, Numpy.
  • Features: Data preprocessing, handling missing values, model training, and feature engineering for wine quality classification.
  • Built with OpenCV, Haar Cascades, Python, Numpy.
  • Features: Real-time face and eye detection using Haar Cascade classifiers, optimized for video input.
  • Built with OpenCV, OCR, Python, YOLOv8, SORT.
  • Features: Real-time license plate detection and tracking using SORT and YOLOv8, with OCR for text extraction.

✨ Thank you for visiting my GitHub! Let's collaborate and build something amazing! ✨

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  1. E-commerce---MERN E-commerce---MERN Public

    JavaScript 2

  2. ML_Wine-Quality-Prediction ML_Wine-Quality-Prediction Public

    A machine learning model to predict wine quality based on physicochemical features, with a Streamlit web interface.

    Jupyter Notebook 2

  3. React---Login-Page React---Login-Page Public

    JavaScript 2

  4. 3-column-preview-card-component-main 3-column-preview-card-component-main Public

    CSS 1

  5. License-Plate-Detection-System License-Plate-Detection-System Public

    The objective of this project is to develop and automated license plate detection system that can accurately identify and extract license plate information from images or video feeds. This system w…

    Python

  6. OpenCV1 OpenCV1 Public

    Python