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Sanginiux/README.md

Hi, I'm Sangini Garg 👋

Computer Science Engineering Student | AI & Deep Learning Specialization

I'm passionate about Artificial Intelligence, Machine Learning, Software Development, Data Analytics, Open Source, and Sustainable Technology. I love building projects that solve real-world problems and constantly learning new things along the way.

LinkedIn Email GitHub


🎓 Education

B.Tech in Computer Science Engineering (Artificial Intelligence & Deep Learning) Mody University of Science and Technology | 2024 – 2028 CGPA: 8.56/10 (till 4th semester)


🌱 Currently Learning

  • 🤖 Machine Learning & Deep Learning
  • 🧮 Data Structures & Algorithms
  • ☕ Java Development
  • 🐍 Python
  • 🗄️ SQL
  • 🔐 Cybersecurity

🚀 Featured Projects

🌾 Agronomics

ML-based crop price forecasting project built to address unpredictable crop prices faced by farmers.

Finalist — Triwizardathon 1.0



🔗 View Repository

♻️ PackAware

Sustainability-focused tool that analyzes the environmental impact of product packaging — calculates plastic usage, assesses recyclability, and suggests eco-friendly alternatives.

Built at AlgoVerse 2025



🔗 View Repository

📐 MathVisualizer

Desktop application for visualizing geometric shapes — calculates area, perimeter, surface area, and volume using Java Swing GUI and Graphics2D rendering.



🔗 View Repository

💼 Experience

Artificial Intelligence (AI) Intern — DecodeLabs (Virtual) 🗓️ Jun 2026 – Jul 2026

  • Gained hands-on experience through real-world projects and collaborative tasks
  • Applied AI concepts to practical problem-solving

Artificial Intelligence Virtual Intern — IBM (via FSP) 🗓️ Feb 2026 – Mar 2026

  • Completed the internship successfully with a passing grade
  • Gained practical exposure to AI concepts through the IBM Developer Skills Network

🏆 Achievements & Hackathons

  • 🥈 Semi-Finalist — Flipkart GRiD 8.0 (Artificial Intelligence Track)
  • 🏅 Finalist — Triwizardathon 1.0
  • 🎯 Internal Round Selection — Smart India Hackathon (Sept 2025)
  • 🌍 AlgoVerse 2025 — Developed PackAware
  • 🧑‍💻 Contributor — Open Source Connect India
  • 🧑‍💻 Contributor — GirlScript Summer of Code
  • 📜 Certificate of Participation — HackVega 2.0

🌟 Leadership & Community

  • 📌 Secretary — IEEE Computer Society Chapter
  • 🧠 ML Mentee — TechNeeds, IGDTUW
  • 🎤 Attended the AI Summit at Microsoft
  • ⚙️ Executive Member — Utkarsh Technical Society
  • 🤝 Associated with CSI (Computer Society of India)
  • 🤝 Member — IEEE IRO and Website Team
  • 🎪 Organized Droid 7.0 & Droid 8.0
  • 🎉 Cultural Head — IEEE Day 2025 - Led the planning and execution of cultural and social engagement activities
  • 💃 Former member — Silver Steppers classical dance team

🛠️ Tech Stack

Languages C Python Java HTML SQL

AI / ML & Data Pandas NumPy Scikit-learn Matplotlib

Databases & Tools MySQL SQLite Git GitHub VS Code Jupyter

Core Foundations Data Structures & Algorithms · OOP · DBMS · Data Preprocessing · Supervised Learning · Data Visualization


📊 GitHub Statistics

Sangini's GitHub Stats Top Languages

GitHub Streak

Profile Views GitHub followers

🏆 GitHub Trophies

Trophies

📈 Contribution Graph

Sangini's Activity Graph


🐍 Contribution Snake

Contribution Snake

Note: The snake animation above requires the platane/snk GitHub Action to be configured in this profile repository (Sanginiux/Sanginiux), which generates the SVG on a scheduled workflow run and pushes it to an output branch.


⚡ Fun Fact

class Sangini:
    def __init__(self):
        self.role = "CSE Student — AI & Deep Learning"
        self.interests = ["AI", "ML", "Software Dev", "Data Analytics", "Open Source", "Sustainability"]
        self.currently_learning = ["Deep Learning", "DSA", "Java", "Cybersecurity"]

    def say_hi(self):
        print("Thanks for stopping by — let's build something meaningful! 🚀")

🧭 Development Philosophy

while (alive) {
    learn();
    build();
    improve();
    share();
}

📫 Let's Connect

LinkedIn Email GitHub

⭐️ Thanks for visiting my profile — feel free to explore my repositories!

Pinned Loading

  1. AgroNomics_ AgroNomics_ Public

    AgroNomics is a machine learning web application that forecasts crop prices using historical agricultural data, seasonal trends, and region-specific variables. Built with Flask and scikit-learn, it…

    Python 2

  2. MathVisualizer MathVisualizer Public

    MathVisualizer is a Java Swing-based desktop application that enables users to visualize geometric shapes, perform real-time mathematical computations, and manage records using SQLite. Developed wi…

    Java 1

  3. Github-profile_analyzer Github-profile_analyzer Public

    A full-stack Flask web app that analyzes GitHub profiles and generates a professional resume-style report with stats, language insights, repository ranking, and visual charts using Tailwind CSS and…

    HTML

  4. PackAware PackAware Public

    A Python-based application that analyzes plastic packaging sustainability, evaluates environmental impact, and promotes eco-friendly alternatives through data-driven insights.

    HTML 1

  5. price-compare price-compare Public

    Real-time product price comparison using SerpAPI and Flask

    Python