airbnb-analysis

In This project aims to analyze Airbnb data, perform data cleaning and preparation, develop interactive geospatial visualizations, and create dynamic plots to gain insights into pricing variations, availability patterns, and location-based trends with help of Streamlit app.

bizcardx-extracting-business-card-data-with-ocr

In this project developing a Streamlit application that allows users to upload an image of a business card and extract relevant information from it using easyOCR.

cardekho-used-car-price-prediction

The project aim is to build a machine learning model that offers users to find current valuations for used cars.

energy-consumption-analysis

Project will analyze energy usage and greenhouse gas (GHG) emissions of Ontario's Broader Public Sector (BPS) organizations, leveraging a comprehensive database of reported data in Power Bi

final-retail-sales-forecasting

In this project Utilizing advanced time series forecasting models, successfully predicted department-wide sales for each store for the upcoming year and Visualizing the data in streamlit GUI.

imdb-movie-analysis-with-powerbi

The project aim is to analyze the dataset using Power Bi, The dataset is related to IMDB Movies.

industrial-copper-modeling

In this project will equip with practical skills and experience in data analysis, machine learning modeling, and creating interactive web applications using Streamlit, and provide you with a solid foundation to tackle real-world problems in the manufacturing domain.

phonepe-pulse-data-visualization-and-exploration

Creating a dashboard by using streamlit application. In this app visualizing the data taken from Phonepe pulse Github repository.

saravanansuriya

singapore-resale-flat-prices-predicting

This project is to develop a machine learning model and deploy it as a user-friendly web application that predicts the resale prices of flats in Singapore.

streamlit

Streamlit Tutorial for machine learning and data science.

youtube-data-harvesting-and-warehousing-using-sql-mongodb-and-streamlit

In This project aims to develop a user-friendly Streamlit application that utilizes the Google API to extract information on a YouTube channel, stores it in a MongoDB database, migrates it to a SQL data warehouse, and enables users to search for channel details and join tables to view data in the Streamlit app.