A Simpel Mnist Flower's Interactive Data Visualization using Streamlit and GGPlot.

Objective, create an intuitive and user-friendly web-based application for visualizing and exploring NHANES data. This dashboard will enable users, including those with limited or no Python programming experience, to interact with NHANES data and generate informative visualizations to gain insights into various health-related aspects.

An interactive dashboard to explore analyze and visualize data with extremely, and a flask API

Performed exploratory data analysis (EDA) in python on the world happiness report datasets (for years 2015, 2016, 2017, 2018, and 2019) from Kaggle; to analyze how measurements of well-being can effectively help assess the progress of nations across the world.

designed to visualize global trends in air pollution death through a series of dynamic charts, maps, and key metrics. By analyzing how well the current prototype communicates significant insights and supports user exploration, this study guides the next iteration of the design.

This repository contains visualizations for covid19 data.

Web application developed using Django. Using random forest algorithm to accurately predict car prices based on the users input.

A full-stack sustainable gardening platform integrating AI-based plant disease recognition, climate-adaptive recommendations, and geospatial visualization. Built with Vue, AWS serverless architecture, and Python-based data and ML pipelines.

UI visualization tool for trade management