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Rajaykumar12/README.md

Hi there 👋, I'm Ajay

Engineer | Web Dev Enthusiast | ML Explorer

Rajaykumar12


Table of Contents


👋 About Me

Hey there! I'm Ajay — an engineering student passionate about technology, development, and solving real-world problems through code.
I love exploring new frameworks, building full-stack projects, and diving into data to uncover insights with machine learning.

8000 🚀 What I Do:

  • 💻 Build web & desktop apps using modern tools like React, Django, .NET, and Next.js
  • 🤖 Explore data science & machine learning through hands-on projects and Kaggle competitions
  • 🌐 Create dynamic websites & REST APIs
  • 📚 Constantly learning and upgrading my skills

🌱 Currently Learning:

  • Next.js & Full-stack deployment
  • Machine Learning & Data Science pipelines
  • Building AI-powered tools for real-world applications

Future Aspirations: I aim to contribute to open-source projects and develop AI/ML tools that solve pressing societal issues.


🚀 Skills

👨‍💻 Programming Languages

  • 🐍 Python, ☕ Java, 🧱 C#, 💻 C, 🌐 JavaScript, 🐘 PHP, 🖥️ C++, 🛠️ ARM Assembly

🌐 Web Development

  • 🖌️ HTML, 🎨 CSS, ⚛️ React, 🌬️ Tailwind CSS, 🧪 Next.js
  • 🔙 Backend: 🌿 Django, 🐘 PHP with 🐬 MySQL, 🟩 Node.js, ⚡ FastAPI, 🚂 Express.js

🗄️ Databases

  • 🐬 MySQL, 📄 SQLite, 🐘 PostgreSQL (basic), 🍃 MongoDB (beginner)

🤖 AI / Machine Learning

  • 📊 NumPy, 📈 pandas, 📉 Matplotlib, 🧠 scikit-learn
  • 🛠️ Feature engineering, 🧪 model training (Kaggle), 📊 data visualization

⚙️ DevOps & Tools

  • 🔧 Git & 🐱 GitHub, 💻 WSL, 🌍 GitHub Pages, 🧰 VS Code, 📮 Postman

🧰 Platforms & Frameworks

  • 🧩 Bubble (no-code), 🧪 Google Colab, 📒 Jupyter Notebooks, 🔥 Firebase (basic)

🤖 LLM & NLP Tools

  • ✍️ Prompt engineering, 🚀 Groq Cloud, 🦙 Llama API, 🧠 Ollama
  • 🕵️ Presidio, 🧬 spaCy, 🧾 PyMuPDF, 🔎 Tesseract OCR, 🤗 Hugging Face (basic)

🛡️ Cybersecurity

  • 🕶️ CTF participant, 🐚 binary exploitation, 🕳️ reverse engineering, 🌐 web challenges

📱 Mobile App Development

  • 📲 React Native (beginner – habit tracker app)

🌍 Languages

  • 🇯🇵 Japanese (beginner)

🧰 Tools & Platforms

Python Java JavaScript C# PHP React React Native Node.js Django FastAPI TailwindCSS

MySQL MongoDB PostgreSQL SQLite

Git GitHub WSL Docker

VS Code Visual Studio Postman Canva

Google Colab Jupyter Firebase Hugging Face

Groq Ollama Presidio spaCy Tesseract OCR PyMuPDF

Bubble Figma


🧠 House Price Prediction (ML Competition)

Kaggle competition project using regression techniques to predict house prices.
Tech: Python, Pandas, Scikit-learn, Jupyter
Notebook: View Notebook


🚢 Titanic Survival Prediction

Titanic ML competition using feature engineering and classification models.
Tech: Python, Pandas, Scikit-learn
Notebook: View Notebook


📝 Blog Website

A full-stack blog application built with Django, featuring dynamic content, user-friendly design, and a built-in admin panel for easy post management.
Tech: Django, HTML, CSS, SQLite
GitHub: View Project


🌦️ Weather App

A sleek and simple weather web app that fetches real-time weather data based on user input using the OpenWeather API.
Tech: HTML, CSS, JavaScript, OpenWeatherMap API
GitHub: View Project


🐦 Twitter Sentiment Analysis

A machine learning project that analyzes Twitter data to classify tweets as positive or negative using Natural Language Processing and Logistic Regression.
Tech: Python, NLTK, Scikit-learn, Pandas
GitHub: View Project


🎥 Movie Recommendation System

A machine learning project that recommends movies based on user preferences using collaborative filtering techniques.
Tech: Python, Pandas, Scikit-learn, Surprise Library
Features:

  • 📊 Collaborative filtering for personalized recommendations
  • 🧠 User-item matrix for advanced predictions
  • 🖥️ Deployed with Flask for an interactive web interface
    GitHub: View Project

⚖️ Imbalanced Data Analysis

A machine learning project focusing on handling imbalanced datasets for improved model performance.
Tech: Python, Scikit-learn, Imbalanced-learn
Features:

  • 📊 Techniques to balance datasets using SMOTE, ADASYN, and Random Undersampling
  • 🧠 Model evaluation with precision, recall, and F1-score metrics
  • 📈 Data visualization to show class distributions and model effects
    GitHub: View Project

🤖 RedactlyAi

A cutting-edge AI-powered tool designed for automatic redaction of sensitive information from documents and text data.
Tech: Python, Natural Language Processing (NLP), Transformers, Flask
Features:

  • 🔒 Automatic detection and redaction of Personally Identifiable Information (PII)
  • 🧠 Utilizes advanced NLP models for named entity recognition
  • 📄 Supports multiple document formats such as PDF, Word, and plain text
  • 🌐 Web-based interface for easy interaction and use
    GitHub: View Project

🐦 Twitter QR Generator

A web app to generate QR codes for Twitter tweets.
Tech: Next.js, Tailwind CSS, qrcode.react
Features:

  • 🖊️ Create QR codes for tweets with custom messages
  • 🏷️ Add hashtags (comma-separated) for better categorization
  • 🙋 Mention a Twitter handle (optional, only one is allowed)
  • 🖼️ Generate shareable QR codes linking to Twitter's tweet composer
  • 📲 Mobile-friendly and responsive design for seamless user experience
    GitHub: View Project

📜 Certifications

Programming Languages

🏅 Certification 🏠 Issued By 📅 Date 🔗 Link
✅ C# Certified Developer FreeCodeCamp Aug 2024 View
✅ Java Fundamentals Infosys Springboard Dec 2024 View

📊 GitHub Stats

Ajay's GitHub Stats Top Languages GitHub Streak Stats


🌐 Connect with Me

LinkedIn Gmail


Thanks for visiting! Let’s connect and build something awesome together 🚀

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