Interactive Streamlit dashboard visualizing sales data from Excel with dynamic filters and key KPIs.

A playground for running duckdb as a stateless query engine over a data lake

YOLOv5 Object Tracking + Detection + Object Blurring + Streamlit Dashboard Using OpenCV, PyTorch and Streamlit

Project using machine learning to predict depression using health care data from the CDC NHANES website. A companion dashboard for users to explore the data in this project was created using Streamlit. Written with python using jupyter notebook for the main project flow/analysis and visual studio code for writing custom functions and creating th…

Streamlit EDA Dashboard Powered by AWS Cloud

A Streamlit powered GPT-3 Application that allows you to chat with tabular data. In addition to AI Chart creation, insights are given too.

This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your own data.

A streamlit multipage app template for geospatial applications

Streamlit Tutorial (ex: stock price dashboard, cartoon-stylegan, vqgan-clip, stylemixing, styleclip, sefa)

This repository contains the code for a realtime election voting system. The system is built using Python, Kafka, Spark Streaming, Postgres and Streamlit. The system is built using Docker Compose to easily spin up the required services in Docker containers.

How to mix TODO lists, tracking work sessions, habit and mood tracking, computer and smartphone tracking, CBT techniques, analyze them and build recommendation system for task prioritization and balanced life

This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository

Quick streamlit dashboard to visualise the impact of COVID-19 in Italy

A Python Dashboard for brazilian stock market made with Streamlit.

Your AI assistant for understanding EXIF data

A Coronavirus Dashboard that updates information realtime using Streamlit

This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.

A personal project I wrote from scratch using Python (Pandas, Plotly, Streamlit) and SQL

Built a image classification model that classifies images into one of the 43 classes from the German Traffic sign dataset.