Fahad's Portfolio

About Me

Hello! I'm Fahad, a dedicated web developer passionate about crafting seamless user experiences. With a strong foundation in frontend and backend technologies, I specialize in building responsive and intuitive web applications.

My journey in web development has led me to create diverse projects that showcase my skills and creativity. From EduVerse, a comprehensive web learning platform integrating a code editor, to ScoutMD, streamlining the process of finding the right doctor, each project reflects my commitment to innovation and usability.

On the mobile front, I've ventured into Flutter for apps like TrainEats, which simplifies meal tracking, and embarked on my iOS Swift journey with FlavorFusion, a sleek app for exploring culinary delights.

My passion extends to data science and AI, where I've tackled challenges like detecting fake job listings and exploring cricket player statistics using machine learning techniques.

Projects

EduVerse

EduVerse is a comprehensive web learning platform developed as my Final Year Project. Built using React and Firebase, it features an integrated code editor powered by acejs, forums, video lectures, PDF notes, and quizzes. EduVerse is designed to enhance the learning experience by providing a variety of resources and interactive elements to help students check their knowledge and progress effectively.

Visit EduVerse

ScoutMD - Doctor Finder

ScoutMD is a web application designed to streamline the process of finding the right doctor in a hospital. The app allows users to input details about their ailments and the affected body part, guiding them to the appropriate doctor's office. Built with ReactJS frontend, Node.js and Express backend, and MongoDB Atlas database.

View on GitHub

TrainEats

TrainEats is a mobile application developed as a freelance project on Fiverr. The app allows users to scan meals using their camera to automatically add them to their consumed meals list. It also tracks calories, reminds users to drink water, and records the calories burnt to help users achieve their desired weight. Built using Flutter for the frontend and Firebase for the backend.

FlavorFusion

Embark on a culinary journey with FlavorFusion, my latest iOS app crafted entirely in SwiftUI. Designed around the MVVM architecture, FlavorFusion leverages TheMealDB API to offer a rich selection of meal recommendations. Its intuitive interface and seamless functionality showcase the power of SwiftUI.

View on GitHub

Fake Job Listing Detection

Explore my AI project focused on detecting fake job listings using NLP techniques with PySpark's MLlib. Leveraging a dataset of 18,000 job descriptions, including 800 labeled as fake, the project aims to automatically identify suspicious postings using advanced text processing and machine learning algorithms.

View on GitHub

Cricket Score Predictor

Delve into my data science project where I explore cricket player statistics using a comprehensive approach. Using TensorFlow and Keras, I crafted a neural network model to predict player runs based on key metrics. The project combines data wrangling, exploratory analysis, and machine learning to provide holistic understanding.

View on GitHub