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Arkopravob/README.md

πŸ’Ό Arkopravo Bhuin – Aspiring Full Stack Developer | AI/ML & GenAI Enthusiast

Hi there! πŸ‘‹ I'm Arkopravo Bhuin, a passionate Full Stack Developer (Fresher) with a strong foundation in Java, Python, and JavaScript. I specialize in building scalable web applications using React.js, Node.js, Spring Boot, and integrating smart features using Machine Learning and Generative AI.

I'm currently open to exciting entry-level opportunities and internships in Web Development, AI/ML, and Full Stack Engineering.


πŸ”§ Tech Stack & Skills

  • πŸ’» Languages: Java, Python, JavaScript, C++
  • 🧠 AI/ML: Scikit-learn, Pandas, NumPy, OpenAI API, Prompt Engineering
  • 🧬 GenAI: Chatbot Integration, LLM APIs
  • 🌐 Frontend: React.js, HTML, CSS, JavaScript, Tailwind CSS
  • βš™οΈ Backend: Node.js, Express.js, Spring Boot, Flask
  • πŸ—„οΈ Database: MongoDB, MySQL, Oracle, SQLite
  • πŸ”§ Tools: Git, GitHub, Postman, Google Cloud Platform (GCP)

Top Langs Arkopravo's GitHub stats Profile views GitHub followers

πŸ“Œ Projects

πŸ”Ή AI-Powered Event Hall Booking System

Tech Stack: Python, Flask, Scikit-learn, JavaScript, MongoDB

Trained a machine learning model to predict event hall availability based on user inputs. Integrated the model into a Flask backend and deployed a web interface using JavaScript. Demonstrates the integration of AI/ML into real-world applications.


πŸ”Ή React.js Portfolio Website with GenAI Chatbot

Tech Stack: React.js, Tailwind CSS, OpenAI API

Built a responsive portfolio with a GenAI chatbot that uses OpenAI API to answer visitor questions about my projects and skills. Showcases the fusion of frontend development with LLMs (Large Language Models).


πŸ”Ή Task Manager App (MERN Stack)

Tech Stack: MongoDB, Express.js, React.js, Node.js

Developed a full-stack CRUD application for managing tasks with user authentication and data persistence. Clean UI using React and API interactions via Node.js.


πŸ”Ή Movie Genre Classifier using NLP

Tech Stack: Python, Scikit-learn, Pandas

Created a machine learning model that classifies movie genres from plot summaries using Natural Language Processing and Naive Bayes. Achieved ~87% accuracy.


πŸ”Ή Student Result Management System

Tech Stack: Python, Tkinter, SQLite

Desktop application to manage student records with CRUD functionality. Built using Python’s Tkinter GUI framework and SQLite as the backend database.


πŸ“« Let's Connect


πŸš€ Current Goals

  • 🌱 Deepen my knowledge in AI/ML and GenAI
  • πŸ“š Contribute to open-source projects
  • πŸ’Ό Land my first role as a Full Stack or AI/ML developer

⭐ Let's Build Together

Feel free to fork any of my projects, raise issues, or collaborate. I'm always open to learning and teamwork!

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