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Hello, I’m Madawee 👋

I’m a Computer Science graduate with a strong interest in building intelligent systems using machine learning and deep learning. I’ve worked on projects in NLP and computer vision, with a focus on real-world model performance.

I enjoy exploring different problem-solving approaches, comparing model behaviors, and improving performance through experimentation and evaluation. I also have experience transforming ideas into practical applications, supported by my background in UI/UX design and full-stack development.


💡 Tech Stack

Languages
Python, Java

Frontend
HTML, CSS, JavaScript

AI & Machine Learning
PyTorch, TensorFlow, Keras

Backend & Databases
Flask, Node.js, MongoDB, MySQL

Design & Tools
Figma, UX/UI Design, FlutterFlow, Git, GitHub

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  1. NouraAbuthnain/convolutional-autoencoder-anomaly-detection NouraAbuthnain/convolutional-autoencoder-anomaly-detection Public

    Convolutional autoencoders trained on normal data, with an attention-enhanced model and Gradio-based deployment, are used to detect anomalies in images.

    Jupyter Notebook