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machphy/README.md

👋 Hey there, I'm Rajeev Sharma

Machine Learning Enthusiast | ML Intern | Engineering Student

“Building the future with AI-driven solutions.”

📧 Contact Me • 🔗 LinkedIn • 🐙 GitHub

🌱 What I'm Working On

class Life(Creativity):
    def __init__(self):
        self.name = "Rajeev Sharma"
        self.current_role = "ML Intern"
    
    def current_projects(self):
        self.learning = "Engineering 📚"
        self.building = "On My Projects 🌱"
        self.excited_for = "Site Reliability Engineering 💡"
        return {
            "Learning": self.learning,
            "Working On": self.building,
            "Excited For": self.excited_for
        }
    
    def contact(self):
        return f"📧 Feel free to reach me at: [email protected]"
    
    def star_repo(self, repo_url):
        return f"⭐ Star this repo: {repo_url}"
    
    def fork_repo(self, repo_url):
        return f"🍴 Fork this repo: {repo_url}"

if __name__ == "__main__":
    my_life = Life()
    print(my_life.current_projects())
    print(my_life.contact())
    print(my_life.star_repo("https://github.com/machphy/Real-Time-Cyber-Incident-Monitoring-and-Analysis-Tool"))
    print(my_life.fork_repo("https://github.com/machphy/TubeMetrics-Advanced-Analysis-for-YouTube-Channels"))

💻 Tech Stack & Tools

Programming Languages:
  - Python 🐍
  - JavaScript 🌐
  - SQL 🗄️

Frameworks & Libraries:
  - Flask 🚀
  - OpenCV 👁️
  - TensorFlow 🧠
  - YOLO 🦁

Tools & Platforms:
  - Docker 🐳
  - Kubernetes ☸️
  - Google Cloud Platform ☁️
  - Git/GitHub 🐙

Data Analysis:
  - Pandas 🐼
  - NumPy ➗
  - Matplotlib 📊

📂 Featured Projects

🛠️ Project 🌟 Star 🍴 Fork 🔗 Link
Real-Time Cyber Incident Monitoring Stars Forks View Repo
TubeMetrics - YouTube Analytics Stars Forks View Repo

🚀 Let's Collaborate!

I'm always excited to collaborate on interesting projects. If you're working on something exciting or have any questions, feel free to drop me a message!

Email LinkedIn GitHub

Pinned Loading

  1. Sentiment-Analysis Sentiment-Analysis Public

    analysis application developed with Streamlit, designed to facilitate the evaluation of review sentiments—positive or negative—by leveraging a pre-trained machine learning model. Users can input re…

    Python 1

  2. twitter_sentiment_analysis twitter_sentiment_analysis Public

    Classify tweets as positive or negative using the Naive Bayes classifier with NLTK. This project processes tweets from the `twitter_samples` dataset, extracts features, and trains a sentiment analy…

    Python 1

  3. TubeMetrics-Advanced-Analysis-for-YouTube-Channels TubeMetrics-Advanced-Analysis-for-YouTube-Channels Public

    allows users to analyze YouTube channels by entering their handle. It fetches metrics such as subscriber count, view count, and engagement rates, integrates with Social Blade, and ranks channels ba…

    Python 1

  4. youtube_sentiment_analysis_API youtube_sentiment_analysis_API Public

    analyzes sentiment in YouTube video comments using the YouTube Data API and a pre-trained model. It fetches comments, performs sentiment analysis, and visualizes the results on a web interface.

    Python 1

  5. facebook_sentiment_analysis_token facebook_sentiment_analysis_token Public

    analyze the sentiment of Facebook posts and visualize the results in a histogram. It connects to Facebook's Graph API to fetch posts, preprocesses the text, performs sentiment analysis, and display…

    Python 1

  6. Real-Time-Cyber-Incident-Monitoring-and-Analysis-Tool Real-Time-Cyber-Incident-Monitoring-and-Analysis-Tool Public

    This project is a Real-Time Cyber Incident Monitoring and Analysis Tool designed to collect, analyze, and visualize cyber incident data from various sources like social media platforms and news fee…

    Python 6 1