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rafisaiyari/README.md

Mohammad Rafi Saiyari

Full-Stack Developer | Supervised Learning Enthusiast

Building meaningful applications that solve real-world problems

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🚀 Bio

I'm currently honing my skills to become a better developer, with a strong enthusiasm for web applications, standalone applications and integration of machine learning. I'm open to collaborations on projects that solve real-world problems and am actively learning Spring Boot while exploring new technologies to expand my expertise.

🛠️ Tech Stack

Frontend

React Next.js Tailwind CSS

Backend

Node.js Express Spring Boot

Databases

MongoDB MySQL MariaDB

📊 GitHub Analytics

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🌟 Featured Projects

🌊 Algal Bloom Prediction System

A machine learning application that predicts algal bloom occurrences using supervised learning techniques. Built to address environmental monitoring and water quality management.

Tech Stack: Python Scikit-learn Pandas Matplotlib • HTML/JS/CSS for geospatial heatmap

View Project

💬 Chat Application

Real-time chat application with modern UI/UX, enabling seamless communication between users.

Tech Stack: React Node.js Socket.io MongoDB

View Project

💭 "Building solutions, one commit at a time"

Profile Views

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  1. algal-bloom-prediction-system algal-bloom-prediction-system Public

    Algal Bloom Prediction System for Laguna Lake.

    HTML 1

  2. breast-cancer-classifier-and-prediction-ml breast-cancer-classifier-and-prediction-ml Public

    Predicts whether the breast cancer Malignant or Benign based on texture, radius, and area features (including their mean, error, and worst variants).

    Jupyter Notebook

  3. chatapp chatapp Public

    A real-time fullstack chat application and website.

    JavaScript