ChatWithAI is a React application that seamlessly integrates the powerful Gemini API to generate dynamic, AI-driven chat responses. The app leverages advanced natural language processing (NLP) techniques to provide users with highly accurate and contextually relevant interactions. By utilizing environment variables for secure API key management, it ensures the safe handling of sensitive data while demonstrating cutting-edge AI capabilities in real-time. This application not only highlights the potential of modern AI-driven communication but also emphasizes the importance of secure and efficient integration of third-party APIs.

Sorting Visualizer is an interactive web application designed to showcase the Quick Sort and Heap Sort algorithms through engaging, real-time visualizations. By leveraging web technologies like HTML, CSS, and JavaScript, the app provides users with an immersive experience where they can visually observe how these efficient sorting techniques work. The dynamic visualizations update step-by-step, demonstrating key concepts like partitioning in Quick Sort and heapifying in Heap Sort, allowing users to gain a deeper understanding of the algorithms. This web app aims to make learning about sorting algorithms both accessible and enjoyable.

Travel-Book" is a full-stack web application built with the MERN stack, allowing users to document and cherish their travel experiences. With secure sign-in and sign-up functionality, users can create memories by adding a title, image, description, and visited locations. The app offers the ability to update, delete, and manage memories with ease. A unique feature is the ability to share memories via a generated link, making it easy to share travel stories with friends and family. The app boasts a fully responsive, user-friendly design, ensuring a seamless experience across different devices. Hosted on Vercel for the frontend and Render for the backend, Travel-Book is an ideal platform for travelers to keep their experiences alive and accessible at all times.

Rajasthan Leap is a job portal for the SIH 1632 problem statement, a project aimed at serving the Rajasthan government. My primary responsibilities included working on the frontend and hosting aspects of the web application. The project was built using the MongoDB, Express.js, React, Node.js stack along with Redux for state management. The job portal facilitates seamless user interactions and efficient data management, supporting the government's initiative to connect job seekers and employers in the region. This project showcases my ability to work with modern web technologies and contribute to impactful solutions for government-driven initiatives.

Expense Tracker This project is a user-friendly expense tracker application built using Python and Tkinter, designed to help users manage and visualize their spending. The app allows users to input their expenses and automatically generates a pie chart using Matplotlib to visually represent the distribution of their expenses across different categories. It offers an intuitive interface, making it easy for users to add and track their expenses. The application utilizes Python’s Tkinter library for the graphical user interface and Matplotlib for the data visualization, showcasing a practical implementation of Python for creating both functional and interactive applications.