yousefelsonbaty - Overview

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  1. EmoBrace: A mobile application that was developed using Flutter & Firebase to detect and display user's emotions.

    Dart 11

  2. A lost & found system implemented with JavaFX.

    Java 2

  3. This project demonstrates emotion recognition using physiological signals like temperature, electrocardiogram (ECG), and galvanic skin response (GSR). It involves data preprocessing, model comparis…

    Jupyter Notebook

  4. MATLAB was used to compare different machine learning techniques to a provided dataset to determine their suitability for predicting bank marketing.

    MATLAB

  5. EmoBrace is a wearable device project designed to monitor physiological signals and predict the user's emotional state.

    Python

  6. The temperature system on the Raspberry Pi Pico would let the user know if the room is cold, hot, or warm; if the room is hot, a sound will play from the buzzer.

    Python