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Achievements

Achievement: Pull Sharkx2

Achievements

Achievement: Pull Sharkx2

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@IEEE-WIE-MUJ

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shivangiS04/readme.md

Shivangi Singh

Problem Solver | Backend Developer | Machine Learning Enthusiast | Java Programmer

About

Final-year Computer Science and Engineering student at Manipal University Jaipur.
Focused on backend development, machine learning, and building systems that solve real problems.
Driven by an engineering mindset — creating practical, efficient solutions that make everyday life easier.
Committed to writing clean, reliable, and maintainable code.

Technical Skills

Programming Languages: Java, Python, C, SQL
Backend & Databases: Flask, Firebase Firestore, REST APIs, MySQL
Machine Learning: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow
Tools & Environments: Git, GitHub, VS Code, IntelliJ IDEA, PyCharm
Systems & Concepts: Data Structures and Algorithms, Object-Oriented Design, Linux, Networking Fundamentals

Okay, goodbye. *disappears into nothing*

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  1. LexiBoost LexiBoost Public

    Uses a Random Forest with linguistic features to score essays, proving smart feature engineering can beat deep learning:)

    Jupyter Notebook 1

  2. FraudFend FraudFend Public

    A deep learning-based system for real-time detection of fraud in mobile payment transactions.

    Jupyter Notebook

  3. AgroPredict AgroPredict Public

    AI-powered IoT system for efficient, real-time smart irrigation management.

    Jupyter Notebook

  4. JobOnBoard JobOnBoard Public

    A Job Portal website utilizing ReactJS, Tailwind CSS, and Firebase Firestore

    JavaScript

  5. PomegranateGuard PomegranateGuard Public

    A web app using deep learning to detect pomegranate diseases from images, built with Flask, TensorFlow, and Keras.

    Jupyter Notebook 1

  6. DeepShield DeepShield Public

    Classifies network traffic (normal/anomaly) using Machine Learning in Python. Leverages Kaggle's intrusion detection dataset, preprocesses features, trains models (e.g., Random Forest), and evaluat…

    Jupyter Notebook