I'm currently studying Computer Information Systems at Southeast Missouri State University. I spend my day working on projects with HTML, CSS, JavaScript, React, Express.js, Node.js and MongoDB.
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A robust payment gateway solution that includes user authentication and guarantees 100% secure and real-time transactions. This project involved implementing advanced encryption techniques and API security measures to ensure the utmost security for all transactions. Additionally, I focused on creating a responsive design to enhance the user experience across various devices.
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PenCraft offers a range of facilities to enhance the writing and reading experience. Writers will have access to a powerful editor supporting rich text formatting and multimedia embedding, and will benefit from a distribution network for wider reach. Readers will enjoy a clean, distraction-free interface with personalized content recommendations and membership features like offline reading and an ad-free experience. Community interaction will be fostered through claps and responses, and writers will have access to analytics tools for performance insights. PenCraft will also support collaboration and seamless social media integration, making it a versatile and attractive platform for both content creators and consumers.
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ResideHub (Apartment Management System) is a comprehensive project developed as part of the Database Management System Course (CS440). Designed to address the challenges of manual data entry in apartment management, this system features a user-friendly interface supported by a MySQL database. The project includes separate functionalities for admins, owners, tenants, and employees, allowing each user type to perform specific actions tailored to their roles. The project's tech stack incorporates HTML5, Tailwind CSS, React JS for the frontend, and NodeJS, ExpressJS for the backend, with MySQL serving as the database.
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Developed a real estate price prediction model using data cleaning, feature engineering, and hyperparameter tuning techniques, and utilized tools like Jupyter Notebook, Visual Studio Code, and PyCharm for development. Resulted in a practical web application enabling users to predict property prices based on square footage and bedrooms.
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A simple web application for managing income, expenses, and savings. This application allows users to input their income and expenses, calculate the total expenses and balance, and optionally set a saving percentage to calculate the saving amount and remaining balance.
GPA 3.9/4