Skip to content
View SYD-Taha's full-sized avatar
đź’­
Got TT on my mind
đź’­
Got TT on my mind

Block or report SYD-Taha

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Ai-powered-Medical-Diagnosis-system Ai-powered-Medical-Diagnosis-system Public

    A deep learning-powered medical diagnosis system that detects Pneumonia from chest X-rays and Brain Tumors from MRI scans using two trained CNN models. Includes a FastAPI backend and Streamlit UI f…

    Jupyter Notebook 1

  2. Smart-Loan-Approval-System Smart-Loan-Approval-System Public

    Smart Loan Approval System An end-to-end AI project that predicts loan approvals using XGBoost. Includes a FastAPI backend, Streamlit frontend, and SHAP-based explainability. Designed to demonstrat…

    Jupyter Notebook

  3. Real-time-Mask-Detection-and-face-recognition Real-time-Mask-Detection-and-face-recognition Public

    Real-Time Mask Detection and Face Recognition System using deep learning and computer vision. The system detects whether individuals are wearing a mask (correctly, or not at all) using webcam input…

    Jupyter Notebook

  4. GenAi_Healthcare_translation GenAi_Healthcare_translation Public

    A real-time multilingual translator designed for healthcare settings. This web app converts voice input into accurate medical transcriptions using AI-enhanced speech recognition, then instantly tra…

    Shell

  5. NumberGuessingGame-React-Native NumberGuessingGame-React-Native Public

    Developed this app as part of my React Native Learning Process

    JavaScript

  6. MealsApp-ReactNative MealsApp-ReactNative Public

    Developed during React Native course

    JavaScript