An interactive front-end toolkit simplifying JSON, YAML, TOML, and XML data. Visualize, edit, convert formats, and perform real-time data manipulations. Empower your data-driven apps with user-friendly data processing and interactive visualization.

A customizable scratch card component in Jetpack Compose, allowing users to reveal a base image by scratching off an overlay.

A cool UI challenge featuring Flutter's Rotating Shining Card. This interactive card gracefully rotates upon mouse hover, accompanied by a mesmerizing 'shine effect' simulating lightning.

Platform-IO (V1) – An AI-enhanced, collaborative development platform by DevSync. Built with React (front-end), Laravel/PHP (back-end), Python, Gemini AI, SQLite, and an FTP-based shared file system. Created for the Salam Hackathon (13–20 Ramadan 1446), led by Adham Haitham.

A platform for IJSE students to connect via posts, likes, and comments. Built with HTML, CSS, jQuery, and Bootstrap. Features profile management, real-time notifications, and API support.

Implementing Chat with Pdf using langchain, React, Cohere & Postgres

A sophisticated reveal effect library for Jetpack Compose that creates an interactive sliding reveal transition between two content layouts with particle effects. Perfect for before/after comparisons, progressive content revelation, and engaging user interactions in Android applications.

Build Brilliant AI-Powered Websites Effortlessly with Nectar.js 🚀: Your gateway to crafting stunning AI websites and applications! Nectar.js is an open-source repository that empowers developers to seamlessly create AI-driven web experiences. Leverage the power of Server-Sent Events (SSE), React, OpenAI's GPT models, and Vite to craft dynamic...

🤖 An Intelligent Chatbot: Powered by the locally hosted Ollama 3.2 LLM 🧠 and ChromaDB 🗂️, this chatbot offers semantic search 🔍, session-aware responses 🗨️, and an interactive Streamlit interface 🎨 for seamless user interaction. 🚀

🏎🏁 This GitHub repository features a Formula 1 Driver Standings application, showcasing my skills in web development and data visualization. Through this project, I aim to provide an interactive and dynamic way to track F1 standings. Dive into the code and explore how web technologies can bring sports data to life.

A modern, responsive photo gallery with interactive animations, dark/light mode toggle, and social features. Built to experiment with CSS animations and modern web techniques.

This code creates an interactive cricket field using Konva.js, allowing users to add and drag players with editable labels while enforcing movement boundaries and player limits.

A JS To Do list application to keep your daily life in check.

An interactive dashboard visualizing and analyzing key variables in police killings trends in the United States from 2015-16, including race, age, location, time, and armed status. This dashboard is made possible by Dash, Plotly, and Altair.

This project demonstrates how to control your computer's mouse using hand gestures with a webcam and the MediaPipe library. By tracking the position of your index finger and thumb, you can perform mouse actions such as clicking and moving the cursor, offering a touch-free interaction with your computer.

A collection of JavaScript projects I’ve built while learning and experimenting with DOM manipulations.

A sophisticated portfolio platform built with modern web technologies, featuring dynamic visualizations, intelligent theme switching, and interactive components. Neural-Noice combines responsive design with seamless animations to deliver an immersive user experience.

PyPlasmaFractal: A Python application for real-time generation of complex fractal noise visuals with feedback effects, featuring interactive controls, diverse effects, and video recording capabilities.

Algo Viz is a web-based visualizer for pathfinding, searching, and sorting algorithms, built using React.js. It helps users understand algorithm behavior through interactive, real-time animations and a clean, intuitive UI.

A music recommendation system built using Collaborative Filtering on the Spotify Million Playlist Dataset (170,089 songs). The system suggests songs based on user preferences, utilizing collaborative filtering to recommend tracks. It features a Streamlit web interface for easy user interaction.