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vijay2023V/README.md

👋 Hi, I'm Vijay Raghav Reddy

🎓 Computer Science Engineering Student
💡 Passionate about building scalable tech in AI, Web3, and Cybersecurity
🚀 Exploring Blockchain, Machine Learning, and Full-Stack Development

🧠 About Me

  • 🔐 Interested in Cybersecurity (CSRF, XSS, Web Attacks)
  • ⛓️ Working with Blockchain (Solidity, MetaMask, Web3 Integration)
  • 🤖 Building projects in AI/ML and Computer Vision
  • 🌐 Developing Full Stack Applications (React + Node + Flask)
  • 🛠️ Love creating real-world projects & autonomous systems
  • 📚 Preparing for competitive exams + deep tech research

🎯 Current Focus

  • 🧠 Advanced Machine Learning & AI Systems
  • ⚙️ Agentic AI / Multi-Agent Systems
  • 🔗 Web3 + Smart Contracts Development
  • 🛡️ Cybersecurity Research & Exploitation Labs

🛠 Tech Arsenal

💻 Programming Languages

C Python Java

🌐 Web & App Development

HTML5 CSS3 JavaScript React Flutter Node.js Flask

🤖 AI & Machine Learning

TensorFlow PyTorch OpenCV Scikit-learn

🗄 Databases

MySQL PostgreSQL Firebase MongoDB

⚙️ Tools & Platforms

Git GitHub Linux Docker Postman

🔌 IoT & Embedded Systems

ESP32 Arduino

📫 Connect With Me

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  1. agri-rental-dapp agri-rental-dapp Public

    Decentralized farming equipment rental platform built on Polygon Amoy where farmers can list, book, and rent tractors or harvesters securely using POL payments.

    JavaScript 1

  2. chat-app chat-app Public

    Real-time chat application built with Django

    Python 1

  3. sentiment-analysis-project sentiment-analysis-project Public

    Sentiment analysis project using IMDB movie reviews with TF-IDF, LSTM + GloVe, and BERT models, then applying transfer learning to classify fictional characters as Good or Evil.

    Jupyter Notebook 1

  4. employee-management-system employee-management-system Public

    Built a full-stack Employee Management System implementing Role-Based Access Control (RBAC) for Administrator, Manager, and Employee roles.

    Java 1

  5. retinal-diagnosis-analytics retinal-diagnosis-analytics Public

    Built an end-to-end analytics pipeline on the ODIR-5K ophthalmology dataset, processing metadata for 5,000 patients across 8 diagnostic categories to surface age, sex, and comorbidity trends.

    Python