Projects
A collection of my work, side projects, and experiments.

🏆 منصة ماراثون القراءة: هندسة نظام تحليلي متكامل لتحفيز القراءة
ابتكار وتطوير منظومة سحابية شاملة (End-to-End System) تستخدم هندسة البيانات والتحليلات المتقدمة لتحويل تجربة القراءة الجماعية إلى رحلة تفاعلية ومحفزة. المنصة تعالج التحديات الإدارية والتحفيزية من خلال خط بيانات آلي، ونظام ألعاب ذكي، ولوحات تحكم متطورة.

AI-Powered MRI Brain Tumor Segmentation
An end-to-end deep learning solution for the automated segmentation of brain tumors from multi-modal MRI scans.

AI-Powered Bearing Fault Diagnosis
An end-to-end deep learning project that uses a 1D Convolutional Neural Network (CNN) to diagnose bearing faults from vibration signals, deployed as an interactive Streamlit web app.

DIP-Lib: Interactive Digital Image Processing Toolkit
A modular Streamlit-based web app for exploring core image processing techniques — complete with parameterized controls, visual comparisons, and dynamic pipelines.

Digital Image Processing Projects
A modular suite of classic image processing mini-projects — covering interpolation, compression, denoising, enhancement, and shading correction — with clean visual benchmarks and Python implementations.

Frequency Decomposition Explorer
An interactive Streamlit app to visualize, isolate, and reconstruct 1D or 2D signals based on their frequency bands using FFT and IFFT.

Edge Vision
Compare multiple edge detection algorithms (Sobel, Scharr, Laplacian, Canny) with real-time visualization and interactive parameter control.

Wind Power Forecasting
Hybrid deep learning and machine learning pipeline for wind power forecasting using direct LSTM and LSTM→Random Forest architectures.

MNIST CNN Layer Analysis
An educational deep learning experiment comparing test accuracy and model complexity across CNN architectures for handwritten digit classification.