Rishverse✨

Hello, I'm
Rishparna.
Developer | Designer.

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About me
Hello there! I'm Rishparna Bandopadhyay, a dedicated BTech student majoring in Computer Science Engineering at Vellore Institute of Technology. My journey in the world of technology has been marked by a profound passion for learning and a keen interest in both frontend 🌐 and backend development 🚀.
Beyond coding, I have a deep fascination for AI/ML 🤖, exploring its potential to solve real-world problems through innovative models. My love for UI/UX design 🎨 allows me to create visually compelling and user-friendly interfaces, ensuring seamless interactions. Driven by curiosity and a passion for innovation, I strive to bridge the gap between functionality and aesthetics, constantly learning and evolving to make a meaningful impact in the tech world!
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What I Do

Blending creativity and technology to craft meaningful digital experiences.

Design. Develop.
Innovate.

Who I Work With

Art Direction Designers Developers.

I explore and develop innovative, delightful concepts while guiding visual designers.
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Portfolio

Some of My
Projects.

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Shoppistae

Shoppistae is a modern e-commerce web application built using React, designed to provide a seamless and enjoyable shopping experience. It features a user-friendly interface, smooth navigation, secure authentication, and a robust cart and checkout system. With real-time stock management through an admin panel, the platform ensures efficiency for both users and sellers. Built with React, Express.js, and MongoDB, Shoppistae aims to make online shopping easy, accessible, and engaging for everyone.
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Gemini Chat PDF

Gemini Chat PDF is a Streamlit-based application that allows users to upload and process multiple PDFs while interacting with the content through a conversational chat interface. Powered by Google's Gemini-pro, the system enables users to ask questions and receive intelligent responses, making document analysis more efficient and interactive.
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Stock Sync

StockSync is a stock market application built using Flask, a Python-based web framework, designed to help users manage their stock portfolio and make informed decisions. The application offers functionalities like user registration, login, adding stocks to a wishlist, predicting stock prices using machine learning, and fetching real-time stock data. It utilizes MongoDB for efficient data storage, yfinance for retrieving live stock information, and scikit-learn for implementing linear regression models for price prediction. This project aims to provide users with insightful stock predictions and a seamless management experience.