A showcase of my work, categorized by project type
A mobile application that enables users to make informed, cost-effective shopping decisions by comparing real-time prices of grocery items across various supermarkets in their area.
An Arabic-language chatbot that provides instant academic support, reducing advisor workload and improving student access to information.
A web-based platform designed to provide accessible mental health support through mood tracking, CBT exercises, mindfulness tools, and crisis resources.
A secure web-based locker system for pilgrims to store belongings during Hajj/Umrah, featuring real-time tracking and biometric access.
A web-based platform that facilitates efficient blood donation and matching between donors and recipients, helping to quickly find the right blood type during emergencies.
A Flutter-powered mobile application leveraging AI (XGBoost algorithm) to forecast project costs and classify budgets (small/medium/large) for investors in Saudi Arabia.
A digital platform that promotes tourism and commerce by showcasing the cultural and historical heritage of Al-Majardah Governorate.
A comprehensive academic portal for students, faculty, and administrators to manage courses, attendance, schedules, and university communications efficiently.
A blockchain-powered platform for secure, transparent, and efficient real estate transactions.
<p>A modern, responsive website designed to showcase Ameen Qahtan’s wide range of technical and educational services, providing intuitive navigation and engaging user experience.</p>
<p>An AI-driven platform that helps high school students identify the university major that best fits their skills, interests, and personality.</p>
<p>An interactive academic website that guides visitors through his professional career, research, awards, and educational initiatives, with a unique interactive tool for measuring leadership competence.</p><p>- A personal academic platform that includes a professional career, articles, research, services, an interactive tool, and a visual overview of events and awards.</p><p>- Objective: To showcase expertise, disseminate knowledge, and promote academic and developmental engagement across individuals and institutions.</p>
A predictive model that automates the grading of dates using visual features like size, color, and blemishes.
A forecasting model to predict bottled Zamzam water demand based on weather, time, and pilgrim statistics.
Exploratory data analysis and predictive modeling on the UCI Bank Marketing dataset to understand customer behaviour and predict subscription outcomes.
Tracks and visualizes global sales figures for various iPhone models using tabulated data and charts.
Implements a k-nearest neighbors classifier, tuned via grid search, to identify fraudulent transactions in a credit-card dataset.
A classification workflow to predict rainfall (“Rain” vs. “no rain”) from meteorological features.
Pipeline to predict heart disease by tuning classical classifiers with a Genetic Algorithm (via NIAPY & PSO) and then refining deep-learning model architectures using AutoKeras neural-architecture search.
Applies PCA to the scikit-learn breast cancer dataset to reduce feature dimensionality and visualize principal component structure.
Combines fuzzy-c-means feature generation with a neural-network classifier to predict diabetes outcomes on the Pima Indians dataset.
A pipeline to classify breast tumors (malignant vs. benign) using a Decision Tree model on clinical feature data.
A regression pipeline to predict used-car prices based on vehicle attributes, using linear models and visual diagnostics.
Uses a Multinomial Naïve Bayes model to predict passengers’ embarkation port from key demographic and fare features.
A text-classification pipeline that uses TF-IDF features and a Multinomial Naïve Bayes classifier to predict the language of input sentences.
Loads and inspects an Excel dataset, then reads and parses a text file to extract specific customer names and monetary values using regular expressions.
A pipeline that classifies handwritten digit images (MNIST) using PCA for dimensionality reduction and supervised classifiers (Decision Tree, SVM).
A step-by-step walkthrough of basic supervised learning workflows using the Iris dataset.
<p>An 8-week practical training in the IT department of Khamis Mushayt General Hospital, focusing on server management, network expansion, device maintenance, and healthcare software systems.</p>
<p>An 8-week practical training in the IT department of Khamis Mushayt General Hospital, focusing on server management, network expansion, device maintenance, and healthcare software systems.</p>
With my academic excellence and practical experience in IT, web development, and data analysis, I offer specialized consultation and development services for graduation projects across various fields.