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ShettyShravya03/README.md
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🔗 Connect: LinkedIn | Email

📄 Publication: IEEE COSMIC 2025


👩‍💻 About me

ML and Backend Engineer focused on production-ready systems. Built end-to-end ML pipelines across computer vision and signal processing, along with scalable backend systems - bridging research-grade models and real-world applications.

🛠️ Tech stack

Languages AI / ML Backend · Frontend DevOps & Cloud

🔬 Featured projects

Project Description Tech Stack Result
🦴 Skeletal Age & Gender Prediction Full CV pipeline on 1,294 X-rays - Attention U-Net segmentation, SHAP feature selection, deployed via Flask + React PyTorch XGBoost SHAP Flask React 🏆 Best Project EXPRO 2025-26 · Dice 0.94 · AUC 0.912
🧠 Epileptic Seizure Prediction Wavelet-CNN-BiLSTM + Attention on CHB-MIT EEG. Grad-CAM clinical interpretability CNN-BiLSTM CWT Grad-CAM 📄 IEEE COSMIC 2025 · 85% acc · AUC 0.90
🔬 IISc OCR Pipeline Mass spectrometry peak-ID for CGPL lab - EasyOCR + OpenCV, Hough-transform axis detection EasyOCR OpenCV Python 🏛️ IISc Bengaluru · 85% extraction acc

📊 GitHub analytics

🎯 Actively seeking SDE / ML roles
📬 shravishetty2004@gmail.com · linkedin.com/in/shravya-s-shetty04

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  1. Machine-Learning-Driven-Skeletal-age-and-gender-prediction Machine-Learning-Driven-Skeletal-age-and-gender-prediction Public

    Full CV pipeline for orthodontic skeletal age & gender prediction on 1,294 clinical X-rays. Attention U-Net segmentation · SHAP · XGBoost · Flask REST API + React frontend. Best Project EXPRO 2025-26.

    Python 2

  2. Epileptic-Seizure-Prediction-using-EEG-spectrogram Epileptic-Seizure-Prediction-using-EEG-spectrogram Public

    IEEE COSMIC 2025 · Wavelet-CNN-BiLSTM with Attention for epileptic seizure prediction from EEG spectrograms. 85% accuracy, AUC 0.90. Grad-CAM interpretability.

    Python 1

  3. chemical-compound-recognition chemical-compound-recognition Public

    IISc CGPL lab · OCR pipeline for mass spectrometry peak identification. EasyOCR + OpenCV with Hough-transform axis detection. 85% extraction accuracy.

    Python