Zomato Data Visualization with Streamlit.The project include visualization of 9000+ data with 7 functional tools to visualize dataset .Streamlit Framework is combined with data visualization tools like Pandas, Plotly , Altair, Pydeck etc. to provide a dynamic interface to analyze data.

Dashboard para análise de criminalidade no estado de São Paulo.

Let's you analyze vehicle collision's data using interactive graphs. Built using streamlit.

A Data Science web application visualizing the road-accidents of New York City

Geospatial data parsing and visualization (Mapbox + Streamlit)

Streamlit app to analyze the different scenarios of COVID-19 in states and cities of Brazil

This is a interactive web applications with Streamlit and Python using Pandas for data manipulation in data science workflows

Deployment of streamlit application using heroku

LeasyBot is an AI-powered chatbot that helps users explore and manage apartment and roommate options easily and effortlessly

The PhonePe Pulse Data Visualization project in Python extracts, transforms, and stores data from the PhonePe Pulse GitHub repository. It creates an interactive dashboard using Streamlit, Plotly, and other libraries to visualize the data. Users can explore various insights from the data spanning 2018 to 2023.

Análise da criminalidade em São Paulo

A data science web app designed by using python

Visualising CSV data file coming from a GPS data logger / related to informal learning & DIY

NYC accident visualization dashboard using Streamlit

This website analyzes the largest companies in the United States by revenue. You can explore various aspects of these companies, including revenue trends, employee distribution, industry comparison, and more.

A dataset about mushrooms was analysed to classify them as edible or poisonous. The application is developed on streamlit and deployed with docker and heroku.

AI based raw material detection

The website aims at providing you an insight about new york's traffic and the motor vehicle collision accidents through a map overview.