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ragultv/README.md

👋 Hi there, I'm Ragul T!

Welcome to my GitHub profile! 🚀

👨‍💻 About Me

  • 🌱 Aspiring Developer: Passionate about AI exploration, machine learning, and software development, constantly pushing the boundaries of innovation.
  • 🧠 Creative Problem Solver: Driven by curiosity and a knack for turning ideas into impactful solutions.
  • 🌟 Lifelong Learner: Dedicated to acquiring new skills and staying up-to-date with emerging technologies.
  • 🌐 Visionary: Focused on creating tools and solutions that make a real difference in people's lives.

📌 Featured Projects

1. NanoTrack

📌 Description: Developed and published a lightweight Python library for real-time object detection and tracking.
🔗 PyPI Package

2. IMP AI - Imputation Tool

📌 Description: Designed and launched an AI-powered tool for missing data imputation, simplifying complex data cleaning tasks.
🔗 Live Tool

3. Animal Detection in Farmland

📌 Description: Built a system to detect and alert animal intrusion on farmland, leveraging computer vision for enhanced security.

4. Smart Face Attendance System

📌 Description: Developed a face recognition-based attendance system to minimize proxy attendance, utilizing cutting-edge ML models.

5. More Projects

Check out my GitHub repositories for other exciting projects!

🛠️ Technical Skills

Languages & Tools:

  • Intermediate: Python, HTML, CSS, OpenCV, Docker, GitHub, Figma
  • Basic: SQL, C, R, Generative AI, PyTorch
  • Frameworks: Flask, Gradio
  • Tools: VS Code, PyCharm, Postman, Scikit-learn

Domains of Expertise:

  • Data Analysis & Visualization
  • API Development and Deployment
  • Real-Time Object Detection

🌍 Areas of Interest

  • Machine Learning & Deep Learning: Exploring AI to build smarter systems.
  • Computer Vision: Creating solutions for image and video understanding.
  • Web Development: Designing dynamic and user-friendly web applications.

🌟 Career Highlights

  • 🏆 Machine Learning Internship at Cognifyz Technologies
    • Built ML models for restaurant ratings prediction, location analysis, and recommendations.
  • 🏆 Machine Learning Internship at The Reciprocal Solution
    • Deployed ML models using Flask, integrated APIs with Postman, and gained hands-on experience in Docker-based deployment.

📚 Certifications

  • DBMS - Infosys Springboard
  • SQL - Infosys Springboard
  • Generative AI Introduction – Skillible (Accredited by AICTE)

💡 Fun Facts

  • 🚀 I enjoy brainstorming new ideas and translating them into actionable projects.
  • 🌳 When I’m not coding, I love exploring nature and learning new skills.

📬 Connect with Me:

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📈 GitHub Stats

Ragul T's GitHub Stats

Top Languages

❤ Views and Followers

GitHub Badge ---

Feel free to explore my projects, collaborate, or just say hi! 😊

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  1. NanoTrack NanoTrack Public

    NanoTrack is a lightweight object detection and tracking package designed for use with YOLO. It provides efficient tracking algorithms with minimal resource requirements.

    Python 4

  2. ANIMAL-DETECTION ANIMAL-DETECTION Public

    This Python-based code that utilizes OpenCV's DNN module with MobileNetSSD to detect animals in the farmland.The code provides a GUI using Tkinter, allowing users to select a video file and start t…

    Python 2 2

  3. breast-cancer-prediction breast-cancer-prediction Public

    the breast cancer prediction using logistics regression on python with the sample dataset , the dataset have the attributes of smoke , alcoholic and pregnant using this attributes that predicts the…

    Python 1

  4. insight-face-docker insight-face-docker Public

    Python 1

  5. My-Portfolio My-Portfolio Public

    HTML 1

  6. smart-face-attendance-system smart-face-attendance-system Public

    The Smart Face Attendance System is a facial recognition-based solution for efficiently managing attendance records. This application uses machine learning algorithms to detect and recognize faces,…

    Python 1