
AI & ML Enthusiast || Full Stack Developer
From Machine Learning to Modern Web – I Engineer Smarter Experiences.
View My ResumeI'm a web developer with a passion for clean design and intuitive user experiences. With a strong foundation in front-end technologies, I specialize in creating modern and accessible websites.
I enjoy bringing ideas to life in the browser and crafting responsive layouts that work beautifully across all devices.
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Built a recipe finder and meal planner web app using React. The platform enables users to search recipes, create personalized meal plans, generate shopping lists, and track nutritional information. It integrates external APIs for recipe data and utilizes LocalStorage to save user preferences. The app features a responsive design with React Router for navigation, providing a seamless, interactive experience. Styled with CSS for a clean, modern UI.

Locodea is an interactive platform that provides real-time civic insights, featuring local news aggregation, city metrics, and public sentiment analysis. It offers tools for civic engagement, including upcoming events, polls, and AI-simplified legal documents. The platform also includes a geo-intelligence map for visualizing crime, businesses, and public services in the community.

The Pi-Dashboard is a web-based application for monitoring and managing Raspberry Pi systems. It provides real-time insights into CPU, RAM, and storage usage, along with network details like IP, MAC address, and connection type. The platform also allows efficient management of storage, hosted sites, and user access, with admin-controlled permissions for secure administration.

Developed a full-stack eCommerce website for Nisarg-Mitra, a wellness brand focused on natural extracts and herbal products. This freelance project involved end-to-end design and development of a responsive platform that supports product listings, shopping cart, user authentication, and admin management. The focus was on creating a scalable, user-friendly solution tailored to real business needs.

The primary objective of the project was to develop a user-friendly web application that allows seamless data manipulation and management. By leveraging Angular powerful front-end capabilities and the flexibility of Dot Net Core and Swagger UI on the back-end, we were able to create an efficient CRUD application with an intuitive user interface.
The project aimed to develop a full-stack, AI-powered healthcare web application that enhances accessibility, diagnosis, and telemedicine services. Using Django and MySQL on the backend and integrating Machine Learning, the platform delivers accurate symptom-based disease predictions, intelligent doctor recommendations, and secure patient-doctor interactions.




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