23, fullstack dev.

github

Rohan Dev Singh  • Peerlist

🍽️ Developed a Restaurant Table Booking System using Next.js 🌐, enabling a seamless and intuitive reservation process for users. ⏱️ Implemented real-time updates to manage table availability efficiently, ensuring a smooth booking experience. ✨ Leveraged modern web technologies to create a responsive, high-performance, and user-friendly interface, enhancing the overall dining experience. 🚀

Table Booking System

🚀 Designed and developed a modern SaaS landing page using Tailwind CSS, TypeScript, Next.js, and Framer Motion, ensuring a sleek, responsive, and high-performance UI. 🌐💻 Implemented smooth animations and interactive elements to enhance user engagement and create a visually appealing experience. ⚡ Optimized for fast loading speeds, SEO, and cross-device compatibility, delivering a seamless and intuitive interface. 🎨✨

Modern Landing Page

Designed, developed, and deployed a fully functional e-commerce platform leveraging modern web technologies to ensure a seamless, intuitive, and engaging user experience. Focused on enhancing usability by implementing a user-centric design, intuitive navigation, and optimized performance. Built a highly responsive and scalable frontend interface using modern frameworks, adhering to best practices in web development to ensure cross-device compatibility and fast load times. Integrated interactive UI components to improve user engagement and streamline the purchasing process, ultimately enhancing the overall shopping experience.

E-commerce Website

Designed, developed, and deployed a robust object detection model capable of accurately identifying and tracking objects in real-time live camera feeds. Leveraged expertise in computer vision, artificial intelligence, and machine learning to enhance detection accuracy and efficiency. Implemented advanced image processing techniques and deep learning algorithms to optimize model performance, ensuring fast and reliable object recognition across various environments and lighting conditions

Object Detection Model

📹 Developed an application for video information management, enabling efficient storage and retrieval of video metadata. 📝 The project is designed to store details such as the title and duration of videos in a structured text file format, ensuring easy access and organization. 🛠️ Leveraged file handling techniques and efficient data storage methods to enhance usability and maintain structured record-keeping. 🚀

Video Manager App

🤖 Developed and deployed a virtual assistant using the Python programming language, enabling intelligent and interactive user interactions. 🗣️ Integrated speech recognition libraries to process and execute voice commands, enhancing the assistant’s responsiveness and usability. 🛠️ Leveraged AI-driven automation to improve functionality, making the virtual assistant more efficient and user-friendly. 🚀