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ananyapattaje/README.md

Tech Enthusiast • Exploring AI/ML • The Power of Data Blows My Minddd!


  • 🪼 I’m currently working on Myself
  • 🪼 Part of Samsung Innovation Campus @ my uni
  • 🪼 Learning AI/ML & Data Science
  • 🪼 How to reach me: ananyakalluraya@gmail.com
  • 🪼 Always looking for innovative collabs — check out my pinned projects!

Tech Stack

GitHub Stats

  • 🪼 Data Science & Analytics
  • 🪼 Artificial Intelligence & Machine Learning
  • 🪼 Frontend Development & UI Design
  • 🪼 Research Projects & Problem Solving
  • 🪼 I’m an illustrator and love designing themed dashboards!
  • 🪼 I see the world as data waiting to be decoded
  • 🪼 Ask me about design workflows, Data Science, or AI/ML

Connect With Me

"The world isn’t perfect. But it’s there for us, doing the best it can... that’s what makes it so damn beautiful."

Pinned Loading

  1. Ai_vs_real-Human-authenticity-classifier Ai_vs_real-Human-authenticity-classifier Public

    A machine learning project to classify whether a face is AI-generated or belongs to a real human using image-based analysis.

    Jupyter Notebook

  2. UniClubs_webapp UniClubs_webapp Public

    A simple Java-based web application for managing university clubs, events, and registrations.

    Java

  3. Android_Malware_Dataset_Analysis Android_Malware_Dataset_Analysis Public

    Exploratory Data Analysis (EDA) on the Android Malware Detection dataset (Kaggle) to uncover patterns in network traffic from benign and malicious Android apps. Includes statistical analysis, visua…

    Jupyter Notebook

  4. Web_page_phishing_detection Web_page_phishing_detection Public

    Machine Learning-based Phishing Detection using Python (Jupyter Notebook). This project analyzes URLs and website features to classify them as phishing or legitimate. Dataset from Kaggle

    Jupyter Notebook

  5. Prompt_Safety_Classifier Prompt_Safety_Classifier Public

    Prompt Safety Classification: Machine learning models for detecting safe vs unsafe AI prompts to enhance conversational AI security by filtering adversarial and jailbreak inputs.

    Jupyter Notebook