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anvi-sha675/README.md

Hi, I'm Anvesha

CSE Student | Open Source Contributor | ECWoC'26 Rank 13 | Google Cloud Study Jams 2025-26 Certified | Continuous Learner

👩‍💻 About Me

I am a Computer Science student passionate about Artificial Intelligence, Machine Learning, and Open Source Development. I enjoy building intelligent systems that leverage emerging technologies to create real-world solutions.

I actively contribute to open-source projects and develop applications that combine AI, data-driven insights, and modern web technologies. I thrive in collaborative environments, continuously learning and tackling complex problems to deliver impactful technology.

🎯 Core Focus Areas

  • 🤖 Passionate about Artificial Intelligence, Machine Learning, and Data-Driven Systems
  • 🌍 Enthusiastic about Open Source collaboration and community-driven development
  • 💻 Focused on building scalable, efficient, and impactful software solutions
  • 📊 Skilled in data-driven problem solving with technical rigor
  • 🧠 Committed to continuous learning and staying updated with emerging technologies
  • 🤝 Highly adaptable, collaborative, and thrive in fast-paced tech environments
  • 🚀 Leveraging emerging technologies to create real-world impact

🛠️ Tech Stack

💻 Programming Languages

  • C
  • C++
  • JavaScript
  • Python

🎨 Frontend Development

  • React
  • HTML5
  • CSS3
  • Tailwind CSS

⚙️ Backend Development

  • Node.js

🤖 AI / Machine Learning

  • NumPy
  • Pandas
  • Scikit-learn
  • Matplotlib

🗄️ Database

  • MySQL

☁️ Cloud Platforms

  • AWS
  • GCP
  • Azure

🧰 Tools & Software

  • Git
  • GitHub
  • Figma
  • VS Code
  • IntelliJ IDEA
  • Google Colab
  • Jupyter Notebook

🔥 Featured Projects

  • [Image Label Generator]– Built using AWS Rekognition
  • [BOT BUZZ Live Chat]– Web-based chatbot application
  • [ORION OS]– Automated Operating System Navigator

🏆 Achievements / Certifications

  • Google Cloud Study Jams 2025-26 Certified Learner
  • AWS Certified Cloud Practitioner
  • Secured Rank 13 in Open Source contributions at ECWoC'26

📊 GitHub Stats & Open Source Contributions

GitHub Stats
 Open Source Contributions

🔥 Top Languages

🌍 Open Source Impact

PRs Issues Repositories

💻 Tech Stack Used in My Projects

Python JavaScript HTML CSS

🌱 Currently Learning

  • Advanced Machine Learning
  • AI-driven application development
  • Cloud-based AI deployment

🌟 Personal Touch

  • 🤖 AI Experiments: Love exploring AI/ML models, and building smart apps.
  • 💻 Coding Challenges: Active on LeetCode, solving problems to sharpen algorithmic thinking.
  • ✨ Quote / Mission: “Build technology that makes life simpler, smarter, and impactful.”

Connect With Me

⭐ Always open to collaboration, learning opportunities, and innovative projects in AI & technology. Thanks for visiting my profile!

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  1. CollabSphere CollabSphere Public

    CollabSphere is a full-stack real-time communication platform enabling secure messaging, video calls, and user collaboration. Built with React, Node.js, MongoDB, Socket.IO, and Stream, it supports …

    JavaScript

  2. FinTrack FinTrack Public

    FinTrack is a modern personal finance dashboard built with React, Tailwind CSS, Chart.js, and Zustand, offering real-time insights, transaction management, and interactive data visualization.

    JavaScript

  3. Mini-Development-Solutions-Studio Mini-Development-Solutions-Studio Public

    Curated collection of practical mini projects, utilities, and developer tools. Showcase of problem-solving, coding best practices, and reusable solutions.

    JavaScript

  4. mini-game-development-showcase mini-game-development-showcase Public

    A curated collection of mini game development projects showcasing problem-solving, core programming concepts, game logic implementation, and interactive programming design.

    JavaScript

  5. OrionOS-Operating-System-Navigator OrionOS-Operating-System-Navigator Public

    ORION OS Navigator – Optimized Responsive Intelligent Operating Navigator. A Python-based terminal AI assistant for voice commands, automation, reminders, file management, and system monitoring.

    Python

  6. Customer-Segmentation Customer-Segmentation Public

    A modular machine learning project that performs customer segmentation using the K-Means clustering algorithm based on Age–Rating and Income–Rating analysis, with visualization and evaluation.

    Python