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sreerag-chandrasekharan/README.md

Hi, I'm Sreerag Chandrasekharan

I'm passionate about using AI to improve healthcare. I hold a Master's in Biomedical Engineering from Hochschule Furtwangen and have hands-on experience in machine learning, image processing, and embedded systems.

Skills & Tools

Python C++ MATLAB

PyTorch TensorFlow scikit-learn

Git Jupyter Linux VS Code

LTspice Code Composer Studio

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  1. Decoding-Emotions-How-Temporal-Modelling-Enhances-Recognition-Accuracy Decoding-Emotions-How-Temporal-Modelling-Enhances-Recognition-Accuracy Public

    THESIS : Developed a deep learning model in MATLAB using transfer learning and LSTM, achieving an improved facial emotion recognition accuracy of 94% on the Oulu-CASIA dataset.

    MATLAB

  2. LungVentilation-EIT-PostureStudy LungVentilation-EIT-PostureStudy Public

    This project investigates the influence of chest and abdominal breathing on air distribution in the lungs using Electrical Impedance Tomography (EIT) imaging. The study also examines the effect of …

    MATLAB

  3. Cervical-Cancer-detection-XG-Boost-Algorithm Cervical-Cancer-detection-XG-Boost-Algorithm Public

    Cervical cancer, which develops in the cells of the cervix, causes over 300,000 deaths in women worldwide each year. Using machine learning (XGBoost) and patient data, this project aims to enable e…

    Jupyter Notebook

  4. Brest_cancer_detection_updated Brest_cancer_detection_updated Public

    This project explores the development of a machine learning model capable of predicting breast cancer type—benign or malignant—based on cytosis cell lab results. The goal is to provide an instant d…

    Jupyter Notebook