Expense Tracker, a powerful expense tracking web application built on Flask. This comprehensive tool is designed to assist users in effectively managing their financial transactions, including earnings, expenses, investments, and savings.

Integrating fiftyone image embeddings to web browser using plotly-dash.

The project is a neural network-based fashion recommendation system built using Python. The model used for this system is Resnet50, which is a deep learning model used for image recognition. The data used for training the model is scraped from Flipkart, with a total of 65,000 images.

Analyzed trends in Medicare service charges and hospital discharges across different states and DRG codes from 2018 to 2022 using data visualization and interactive Plotly plots.

Created a dashboard using streamlit, plotly, and plotly-express for analyzing Covid-19 data of the United States.

Hotelytics - Insights at a Glance 🏨📊

classify SMS and email messages as spam or not spam using machine learning techniques end-to-end project

A Live Stock Price Dashboard, developed to show stock prices live using candlestick graph.

Plotly Advanced Dashboard using HTML, CSS and JS.

A modern expense tracker web application built with React, JavaScript, and Tailwind CSS. Easily manage your personal finances with intuitive transaction tracking, category management, interactive charts, and comprehensive financial analytics—all with a responsive design that works beautifully on both desktop and mobile devices.