I am an aspiring React Developer with a strong passion for learning and adapting to new technologies. I enjoy building user-friendly applications and writing clean, efficient code. Eager to contribute to innovative projects and grow in a dynamic development environment.
Html and Css
Javascript
React
Python
Linux
Rest Api
Git and Github
Docker
•Portfolio Website using HTML and CSS: Developed a personal portfolio website to showcase my projects, skills, and experience. Utilized HTML and CSS to create a responsive design that adapts to different screen sizes.
• Developed a Spotify-like music player using HTML, CSS, and JavaScript, featuring a responsive UI and interactive controls. Implemented core functionalities such as play, pause, next, previous, and volume control using JavaScript functions like playAudio(), pauseAudio(), nextTrack(), and prevTrack(). Utilized the Audio API (audio.play(), audio.pause()) to handle playback and setInterval() for real-time progress updates. Integrated event listeners (addEventListener()) for user interactions, ensuring smooth navigation and seamless user experience
• I developed a To-Do List app using React to streamline resume task management. It features task addition, completion, and deletion with useState for dynamic updates. The UI is enhanced with react-icons and responsive CSS.
•Developed a Travel Package Management System using React and React Router, featuring a responsive user interface with dynamic navigation, search functionality, and authentication flow. Implemented user registration, login, and logout functionality with session persistence using local storage. Designed reusable components for displaying travel packages with filtering capabilities and integrated modern CSS styling for hover effects, transitions, and responsive layouts. Utilized React hooks (useState, useEffect) for state management and followed best practices for component-based architecture.
•Developed a Python-based crowd management system using OpenCV and the Haar Cascade algorithm to monitor entry and exit through two webcams placed at a room’s entrance and exit. The system accurately detects and tracks people, updating the count dynamically. When the permitted occupancy limit is reached, an alarm is triggered to prevent overcrowding.(College Mini Project).
•Developed a Python-based AI Legal Advisor application with modules for court management, advocate handling, complaint registration, advocate assignment, user authentication (login/signup), and data storage in MySQL. The application features an AI-powered dashboard built using RAG, LangChain, Hugging Face, Gemini API, and ChromaDB, enabling intelligent legal assistance. It streamlines legal workflows by automating case management, providing AI-driven legal insights, and enhancing efficiency in legal consultations and dispute resolution.(College Major Project).
•Learning Linux Basics Course and Lab By KodeKloud.
• React Essential Training By LinkedIn Learning
• Learning Redux Toolkit By LinkedIn Learning
• Figma for UX Design By LinkedIn Learning
• Docker for Developers By LinkedIn Learning
• Learning Kubernetes By LinkedIn Learning
• Learning Rest APIs By LinkedIn Learning
• Designing Restful APIs By LinkedIn Learning
• Node.js Essential Training By LinkedIn Learning
• The Complete 2023 Web Development Bootcamp By Udemy