Hey! I’m Maryam, a 23-year-old IT graduate who’s passionate about technology and creating cool
stuff. I love building software, designing user-friendly apps, and solving problems with code.
I’m always learning new things and exploring different tech tools to improve my skills. I’m
looking for opportunities to work in a tech company where I can grow, contribute, and gain
hands-on experience. I’m a detail-oriented person, and I believe that even the smallest details
can make a big difference in creating something amazing.
That's kind of all you can know me formally. Go ahead and Enjoy my entire website!
My professional journey and work experience in the tech industry, from internships to full-time roles.
Professional certifications and courses that enhance my technical expertise and knowledge base.
My projects include semester assignments, tasks, and fun self-learning experiments where I explore different tech stacks. I've built websites, mobile apps, and AI/ML and Computer Vision models not just for work, but because I genuinely enjoy it as a hobby and passion. Feel free to check out my work and see what I've created! If you visit my GitHub repositories, I'd love it if you could leave a star. Thanks for stopping by!
I played a key role in building and enhancing a full-featured donation and event management platform tailored for non-profit organizations. This web application supports various donation types, e-commerce functionalities, volunteer coordination, and initiative-specific pages, all accessible via a custom-built admin and user dashboard. Read More... My primary contribution focused on the integration of PayPal for all donation flows, including one-time, recurring, Zakat, and GoFundMe-style campaigns. I implemented a secure and user-friendly payment experience that supports global payments and generates confirmation receipts. This integration also supports flexible amounts, installment options, and tracks donor history. I developed a GoFundMe-like donation campaign feature where users can contribute to specific causes with visible fundraising goals and real-time progress tracking. These campaigns include analytics such as total raised, number of donors, average donation amount, and donation timelines — all accessible through an interactive admin dashboard with visual charts and tables.
Developed a modern media agency website for InFocus Media, converting Figma designs into a dynamic Next.js application. Built with Next.js, React, and GSAP for professional animations and smooth transitions. Features include pixel-perfect design implementation, engaging scroll-triggered animations, server-side rendering for SEO optimization, and responsive design. Read More... The website features a visually appealing design with smooth animations, interactive elements, and a user-friendly interface. It includes sections for services, portfolio, team, and contact information, all designed to enhance user engagement and showcase the agency's expertise. Key technical features include GSAP for advanced animations, Next.js for server-side rendering and SEO optimization, and responsive design principles to ensure a seamless experience across devices.
Developed a full-featured e-commerce platform for Crave Crafted, built with React JSX and integrated Stripe subscriptions. Features include dynamic blog management, customer review system, banner management, product catalog with admin controls, and appealing UI/UX design. Read More... The platform allows users to browse and purchase a wide range of food and snack products, with features such as product filtering, detailed product views, and a secure checkout process. The admin panel provides comprehensive management tools for product listings, order processing, and customer interactions. Key technical features include RESTful API integration for dynamic content delivery, JWT authentication for secure user sessions, and responsive design principles.
Developed a modern logistics website for UAE Couriers, converting Figma designs into a fully functional React application. Built with React.js, Framer Motion for smooth animations, and Tailwind CSS for responsive styling. Key features include pixel-perfect design implementation, engaging micro-interactions, cross-device compatibility, and optimized performance. Read More... The website features a visually appealing design with smooth animations, interactive elements, and a user-friendly interface. It includes sections for services, tracking, and contact information, all designed to enhance user engagement and showcase the courier's expertise. Key technical features include Framer Motion for advanced animations, React.js for component-based architecture, and responsive design principles to ensure a seamless experience across devices.
MATex Shoes is an innovative e-commerce platform revolutionizing sustainable fashion by offering a curated collection of high-quality, pre-loved women's footwear. Built using a modern technology stack including React.js, Node.js, and MongoDB, the platform provides an intuitive, responsive user experience. Read More... The website features dynamic product filtering, detailed product views, and a sophisticated checkout process, allowing users to explore a diverse range of shoes across different categories, seasons, and price points. With a focus on sustainability, MATex Shoes enables customers to access gently used shoes at accessible prices, effectively promoting circular economy principles and reducing fashion waste. The technical architecture demonstrates sophisticated web development practices, incorporating advanced features like real-time inventory tracking, automated email notifications, and responsive design.
The chat application is a minimal real-time communication platform built using modern web technologies. The system architecture follows a traditional client-server model with a React-based frontend and Node.js backend, connected through WebSocket technology for instantaneous data transfer. Read More... On the backend, the application utilizes Express.js as the web server framework, providing the fundamental HTTP server capabilities. The real-time functionality is implemented through Socket.IO, which establishes persistent WebSocket connections between the server and clients. This enables bidirectional communication essential for instant messaging features. The frontend is constructed as a single-page application using React.js, employing functional components and hooks for state management.
The AgentTrack Delivery Analytics System is a comprehensive MERN stack application designed to analyze and visualize delivery agent performance metrics. Built with production-grade architecture, the system combines MongoDB for data storage, Express.js for backend services, React for the frontend interface, and Node.js as the runtime environment. Read More... The backend infrastructure implements robust security measures including JWT authentication with HTTP-only cookies, rate limiting to prevent abuse, and Helmet middleware for secure headers. At its core, the system features a sophisticated natural language processing engine that analyzes delivery agent reviews using the AFINN lexicon for sentiment analysis and Porter Stemmer algorithm for text normalization.
My Final Year Project: AI Powered Flutter Mobile Application For Detection And Management Of Litter Dumps using Computer Vision named LitterGo is an innovative mobile application designed to revolutionize community waste management and environmental responsibility. Read More... Developed using Flutter and Firebase, the app empowers users to actively participate in local cleanliness initiatives by providing a comprehensive platform for reporting and tracking litter locations. The technical architecture represents a sophisticated mobile solution built on a robust cross-platform framework. Key features include location-based waste reporting, community event creation, user authentication, and interactive mapping functionalities.
The Recipe Recommendation System is an innovative machine learning-powered application that leverages advanced natural language processing techniques to provide personalized recipe suggestions based on available ingredients. Read More... Developed using Python, the project integrates sophisticated technologies including scikit-learn's TF-IDF vectorization and cosine similarity algorithms to create an intelligent recommendation engine. The system processes a comprehensive Indian food dataset, transforming raw ingredient and recipe information into a sophisticated recommendation model. From a user experience perspective, the application offers an intuitive graphical interface built with Tkinter.
Contributing to a computer vision project focused on monitoring driver activities to enhance safety and compliance. Features include seatbelt detection, cell phone monitoring, drowsiness detection, and facial recognition.
Python script showcasing Roboflow computer vision platform for automated garbage detection system with pre-trained object detection models.
Feel free to reach out! I'd love to hear from you.
Beyond coding and development, here are some interesting things about me that make me who I am! From viral social media moments to personal hobbies that keep me creative and balanced.
I'm featured in reels on Calcite Technologies' Instagram account! It's amazing to be recognized and showcased by a tech company for my work and contributions to the field.
One of my featured reels went viral and got over 50,000 views! It's incredible to see how content can reach so many people and create such engagement in the tech community.
Words that inspire and guide my journey