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Projects

Some of the projects are from work and some are on my own time.

Ai Medical Rep Chatbot

The AI Medical Rep Chatbot is a cutting-edge digital assistant designed to support healthcare professionals (HCPs) by providing accurate and detailed information about a company’s medical products. Acting as a virtual medical representative, it delivers an interactive and user-friendly experience to address queries, explain product details, and enhance HCP engagement with real-time voice and avatar integration.

AI Portrait Generator with Stable Diffusion

The AI Portrait Generator is a Python-based application that combines the power of Stable Diffusion and advanced AI frameworks to create stunning portrait images. By taking an input image and a descriptive text prompt, the app generates personalized, high-quality portraits tailored to the user’s vision.

Motion Tracker & Image Segmentation Desktop App

The Motion Tracker & Image Segmentation App is a versatile desktop application built with Next.js and Electron.js, designed for seamless operation on both Windows and Mac. This app leverages MediaPipe Holistic to provide advanced motion tracking capabilities, enabling users to interact with the application through body movements. It supports dynamic backgrounds, motion-based tasks, and offers image capture and sharing functionality.

Medical Rep Training CRM & Gamification Platform

A powerful CRM and gamified training platform built with Angular, PHP, and Node.js. This solution is designed to train Medical Representatives in engaging with HCPs (Healthcare Professionals) regarding ABBOTT products. It adapts training to HCP behaviors and learning styles through customizable scenarios and interactive games, fostering effective communication skills.

Event Manager App for L’Oréal Dubai

A sleek and feature-rich event management mobile application for Android and iOS developed using Flutter, designed to streamline event organization and enhance attendee engagement. Built specifically for L’Oréal Dubai, the app provides a comprehensive platform to manage events, track attendance, and foster interaction.

TensorFlow-Powered Chatbot Project (LLM)

Introducing my real estate chatbot project, powered by Python, NumPy, and TensorFlow's Sequential model. By utilizing Pad sequences, this innovative solution transforms raw data into meaningful conversational interactions. From seamless query responses to personalized recommendations, this chatbot redefines real estate engagement with unparalleled efficiency and accuracy.

Web Element Scraper (NPM Package)

Element Scraper is a lightweight Node.js package designed to simplify web scraping tasks by extracting text content from HTML elements on web pages. Built on top of Puppeteer and Cheerio, Element Scraper offers a user-friendly interface for effortlessly retrieving desired information from websites. Whether you're extracting article titles, product names, or any other text-based data, Element Scraper streamlines the process, making web scraping accessible to developers of all skill levels. Simplify your scraping workflow and unlock valuable insights from the web with Element Scraper.

Indus Website for premium properties.

Introducing exclusive platform for premium real estate, powered by Next.js, PHP, and Node.js. Accessible only to registered users, unique UI/UX prioritizes luxury and privacy over SEO. With lightning-fast performance and dynamic functionality, it deliver elite browsing experiences for discerning clientele.

Tenant App (Flutter)

Flutter mobile app for tenants, packed with essential features like maintenance requests, announcements, lease info, unit details, and tenant feedback. Empowering tenants with convenience and engagement, this app redefines the tenant experience with seamless functionality and user-friendly design.

Real-Time Object Detection (YOLO)

This project showcases a real-time object detection web application built using Python, Flask, Socket.IO, and OpenCV. Leveraging the YOLO (You Only Look Once) deep learning framework, the application can detect objects within images sent from a client interface in real-time. The backend, developed in Python, processes the images, detects objects, and sends the results back to the client via Socket.IO. The client interface, implemented using Next.js and Firebase for authentication, provides a seamless user experience for interacting with the object detection functionality. This project demonstrates the integration of machine learning models into web applications for real-time processing and interaction.

Sharp Image Optimization (Node.js)

Node.js backend application for image optimization, a powerful tool built with Sharp, Express, Multer, and Compression. Designed to enhance performance and reduce file sizes, this app optimizes images based on input parameters sent via API. From image dimensions and quality to export type and compression size, it ensures efficient optimization tailored to specific requirements. With seamless integration and robust functionality, it streamlines the image optimization process, empowering developers to enhance performance and user experience effortlessly.

Node.js Performance Profiler (NPM Package)

Node.js Performance Profiler is a lightweight npm package designed to facilitate the profiling of Node.js applications. With easy-to-use methods, it provides insights into memory and CPU usage, as well as elapsed time since execution start. The profiler conveniently logs results to a specified file, enabling developers to analyze and optimize their applications' performance effortlessly.

Content Management System for Website (Angular)

Introducing the CMS system, crafted with Angular for the frontend and backed by PHP, Node.js, and Python for the backend. With a sleek UI/UX powered by Angular Material Library, it optimizes workflow efficiency. From content management to optimization tools, every feature is designed for seamless integration and enhanced productivity.

Websocket (Node.js)

This Node.js WebSocket server enables real-time communication between clients. Clients are assigned unique IDs upon connection, and messages, including image uploads, are broadcasted to all connected clients. Additionally, the server logs messages to a text file for reference, enhancing communication capabilities for applications requiring real-time updates.

Event QR Reader App (Flutter)

Flutter-based event management app, developed with expertise in cross-platform optimization. Streamlining event planning and attendance tracking, this app integrates QR scanning and backend functionalities in PHP, Node.js, and SQL. With user-friendly interfaces for iOS and Android, it ensures seamless navigation and widespread adoption, revolutionizing event management processes.

Image Upscale Ai (TensorFlow)

Python project for image upscaling, leveraging TensorFlow and Flask. This application allows users to upscale images to super resolution using the ESRGAN model. With Flask handling API requests, users can input images for upscaling, which are then processed using TensorFlow. The ESRGAN model, loaded from TensorFlow Hub, enhances image quality and detail, producing high-resolution results. The upscaled images are then returned to the user via the API, ready for further use. This project showcases the power of machine learning in image processing and provides a practical solution for enhancing image quality in real-world applications.

Official Website Of Indus Real Estate LLC (Dubai)

Indus main website, powered by Next.js, PHP, and Node.js, delivers top-notch performance, SEO, and user engagement. With Next.js' image optimization and PHP/Node.js backend, we achieve fast load times and dynamic experiences. Prioritizing speed and scalability, we optimize all elements, from image compression to server-side rendering. With clean code and responsive layouts, our site boosts SEO, driving visibility and ranking. Continuously monitored and optimized, our site ensures an engaging user experience, spurring conversions in the real estate market.

Property Management Cloud App (Angular)

Introducing Property Management Cloud PWA, a cutting-edge solution for Dubai real estate. Built with Angular, PHP, Node.js, and SQL, the platform offers seamless property, unit, and lease contract management. Leveraging Firebase for push notifications and featuring a three-tier authentication system, the solution revolutionizes real estate operations with efficiency and security. With a dynamic dashboard and custom styling using SCSS, it provides intuitive navigation and a visually appealing user experience.

Landing Pages (Front-End)

Introducing a series of captivating landing pages meticulously crafted with HTML, CSS and JavaScript (includes React.js/Next.js/Svelte). From sleek designs to vibrant layouts, each page is tailored to engage visitors and drive conversions. With seamless user experiences across devices, our landing pages are designed to leave a lasting impression and elevate your brand, event, or product launch.