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caitlin-leonard/README.md

AI, Data & Intelligent Systems

AI • Data • Intelligent Systems

Machine Learning • Signal Processing • Computer Vision • Applied AI

Hi, I’m Caitlin

I’m an ECE undergraduate at IIITDM Kancheepuram and a
BS Data Science & Applications student at IIT Madras, currently a
Research Intern at IIT Madras.

I’m focused in building data-driven and intelligent systems, with experience across
machine learning, signal processing, and computer vision, and applications in
healthcare and other real-world problem domains.

Areas of Focus

  • Machine Learning & Deep Learning
  • Signal Processing & Time-Series Analysis
  • Computer Vision
  • Applied AI Systems
  • Healthcare-focused Applications

📫 Connect

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  1. Seizure-analysis Seizure-analysis Public

    Preictal seizure analysis on the Siena Scalp EEG dataset

    Python 1

  2. pacman-rl-agent pacman-rl-agent Public

    A reinforcement learning agent that learns to play Pacman in a custom environment with a visual GUI.

    Python

  3. brain-tumor-detection-cnn brain-tumor-detection-cnn Public

    Convolutional Neural Network (CNN) for brain tumor detection from MRI images using TensorFlow and Keras.

    Python

  4. pneumonia-xray-fastapi-app pneumonia-xray-fastapi-app Public

    FastAPI-based web app for classifying chest X-ray images as Normal or Pneumonia using a CNN model

    Python

  5. alzheimers-disease-prediction-ml alzheimers-disease-prediction-ml Public

    Alzheimer’s disease prediction system using machine learning on a Kaggle clinical dataset, with EDA, model comparison (Logistic Regression vs Random Forest), and a Gradio interface for real-time ri…

    Jupyter Notebook

  6. Hodgkin-Huxley-Model Hodgkin-Huxley-Model Public

    implementation of the Hodgkin-Huxley model to simulate the generation of action potentials in neurons, including gating variables, ion channel dynamics, and a noisy stimulus current.

    Python