"Crafting full-stack wonders with code, one project at a time!" 🚀
Greetings! 👋 I'm delighted to have you visit my GitHub profile. Allow me to introduce myself and take you on a journey through the magical realm of code that I've been conjuring.
I'm Qamar, a seasoned full-stack master with a burning passion for technology. I firmly believe in the transformative power of code to bring ideas to life. I thrive on challenges and continuously strive to enhance my skills to create impactful solutions. Innovation and creativity are the pillars that shape my coding endeavors!
Here are some of the remarkable projects I've crafted, each blending creativity, functionality, and technical prowess:
Project 1: Quotewise Inspire with AI-Generated Quotes. Angular frontend and TypeScript backend for a modern user experience.
- Repository: https://github.com/Qamar2315/quotewise
- Demo: https://drive.google.com/file/d/17LEEiftWUtTYzVCa7yRk_5A79T0UqbpA/view
QuoteWise is a web application that generates inspirational quotes using AI technology. Users can input prompts, and the application will generate unique quotes based on those prompts. With features like user authentication, profile management, likes, comments, and favorites, QuoteWise provides an engaging platform for users to explore and share inspiring quotes. Built with Angular for the frontend and TypeScript for the backend, QuoteWise offers a modern and interactive user experience.
Project 2: ChefConnect Mobile App - A Culinary Hub Powered by React Native and Tailwind CSS
- Repository: https://github.com/Qamar2315/chefconnect-mobile-app
- Demo: https://drive.google.com/file/d/17LEEiftWUtTYzVCa7yRk_5A79T0UqbpA/view
ChefConnect Mobile App is a recipe platform designed with React Native, MongoDB, Express, Node.js, and Tailwind CSS. It empowers users to create, edit, and review recipes directly from their mobile devices. The app facilitates recipe creation, editing, and review functionalities, along with a seamless user experience through features like recipe discovery, search options, and user authentication. ChefConnect Mobile is tailored to simplify recipe management and enhance community engagement among food enthusiasts through its intuitive design and comprehensive features.
Project 3: ChefConnect - A Recipe-Sharing Platform with Next.js and Tailwind CSS
- Repository: https://github.com/Qamar2315/chefconnect
- Demo: https://drive.google.com/file/d/1U576iNiEuYzdcOdF_WhM4e4mLgmvcc6u/view?usp=sharing
ChefConnect is a recipe management platform built with Next.js and Tailwind CSS. It enables users to discover, create, and review recipes effortlessly. Key features include recipe creation and editing, review functionalities, search options, secure authentication, and a responsive design for an immersive user experience. ChefConnect's goal is to streamline recipe management and cultivate a community of food enthusiasts through its user-friendly interface and comprehensive features.
Project 4: WaterZilla-Simplify Water Purchases, Empower Administrators - A Revolutionary MERN Stack Web App!
- Repository: https://github.com/Qamar2315/Waterzilla
- Demo: https://drive.google.com/file/d/1i-SnquD4fTM2HRJIXB2-XYnjnZmWi7ho/view?usp=sharing
WaterZilla is a cutting-edge MERN stack web app for buying water online. It features separate backends for MongoDB and MySQL, providing a comprehensive platform. Customers can place orders, track status, and admins manage customers, orders, and sales with PDF reports. Challenges included data consistency and robust security, but WaterZilla aims to streamline water buying with convenience and powerful management tools.
Project 5: PhotoBook: Unleash your creativity, connect through captivating photos with our Node.js and MongoDB-powered social media app clone!
- Repository: https://github.com/Qamar2315/Photobook
- Demo: https://drive.google.com/file/d/1eU1sk0B_BO645geMQyY3IaA0Kmo2cdJS/view?usp=sharing
PhotoBook is a cutting-edge social media app clone built with Node.js and MongoDB for storing user data. It provides a platform for sharing captivating photos, emphasizing creativity and visual storytelling. The project prioritizes a seamless user experience with secure authentication, optimized performance, and responsive design. Challenges included handling large image uploads efficiently and ensuring scalability for a growing user base, but the app successfully delivers a feature-rich platform for sharing photo journeys.
Project 6: Soar to New Heights: Control the Bird with Your Hands in "Whirley Bird" - A Thrilling Pygame Experience!
- Repository: https://github.com/Qamar2315/Whirleybird
- Demo: https://drive.google.com/file/d/1hS16XUPfi3pImEj2GCuv3Cr290eU3G7p/view?usp=sharing
"Whirley Bird" is an innovative Pygame project that offers an immersive gaming experience by allowing players to control a bird through challenging obstacles. The game features hand-driven controls using the CV2 library and Movenet technology, enabling players to tilt their hands to guide the bird's movements. It utilizes SQLite for secure score storage and leaderboard functionality. Notable achievements include seamless hand detection integration and creating an intuitive gameplay experience. Challenges included optimizing performance and synchronization between hand gestures and bird movements. Overall, "Whirley Bird" showcases creative technology use to enhance gaming enjoyment and skill testing.
Project 7: Fertility Diagnoser: Unleashing the Power of Machine Learning in Web App Development - Predicting Fertility Levels with Accuracy and Ease!
- Repository: https://github.com/Qamar2315/fertility_diagnoser
- Demo: https://drive.google.com/file/d/1zOLM9ysLYdxdwP2XaXQgzUO6pmvg0Xz8/view?usp=sharing
Fertility Diagnoser is a web app using machine learning (sklearn) to predict fertility levels based on user input like age and hormone levels. It combines React for the frontend and Python for the backend, achieving high prediction accuracy. The app's achievements include seamless frontend-backend integration, an intuitive interface, and valuable fertility insights for users, despite challenges in model training and optimization.
Project 8: Personalized Diet Plan Recommender: Unleash Your Optimal Nutrition - Tailored Meal Plans for a Healthier You!
- Repository: https://github.com/Qamar2315/diet_recommendation_system
- Demo: https://drive.google.com/file/d/1LuxV-oIfB2Lk_GwBBpWY2_x56ZqUhqNm/view?usp=sharing
The Personalized Diet Plan Recommender is a cutting-edge web app using React, Node.js, Python, and Prolog to offer customized meal plans based on user dietary requirements. It considers factors like age, weight, height, and preferences to generate personalized recommendations, promoting healthy eating habits. Achievements include diverse technology integration, an intuitive user experience, and leveraging Prolog for accurate meal suggestions. Challenges included structuring the knowledge base and implementing efficient inference rules. The app empowers users to make informed nutrition choices for a healthier lifestyle.
Feel free to delve into my repositories to discover more captivating projects!
I have honed my expertise across a wide range of technologies and tools, including:
- Programming languages: Python, JavaScript, Typescript
- Full-Stack: Node.js, React, NextJS, ReactNative
- Databases: MongoDB, MySQL, SQLite3
- Machine Learning: Sklearn, Tensorflow, Keras
I love connecting with fellow developers and enthusiasts. Feel free to reach out to me via email at [email protected]. You can also find me on LinkedIn and Twitter. Let's collaborate, exchange ideas, or simply have a great conversation!
I am a firm believer in the power of the open-source community and the spirit of collaboration. If you have any exciting projects you'd like me to contribute to, please don't hesitate to let me know!
Thank you for visiting my GitHub profile! I'm thrilled to embark on this coding journey together. Let's push the boundaries of what's possible, craft groundbreaking solutions, and make a positive impact on the world—one line of code at a time. 🌍
"Stay curious, keep coding!" - Unknown