streamlit is an open-source app framework for Machine Learning and Data Science teams. Create beautiful data apps in hours, not weeks. All in pure Python

This repository provides search experience with your images by Azure Computer Vision.

PixelMagic is a web application designed for image processing, enabling users to upload an image and apply various techniques such as Super Resolution and Background Removal. Built with Python and utilizing the Streamlit library, PixelMagic offers a user-friendly interface for enhancing images or removing their backgrounds with ease.

All in One Financial Market Dashboard! I created this webiste to show all the financial details of Stocks,Crpto & web3 market throughout the globe!

An OpenAI chatbot using the LangChain framework to interact with and provide insights from document data.

Este projeto consiste em uma aplicação Python para extrair dados de municípios brasileiros do Instituto Brasileiro de Geografia e Estatística (IBGE) e dados de casos de dengue do sistema InfoDengue. Os dados são então transformados e carregados em um banco de dados PostgreSQL para análise posterior e criação de um dashboard.

📊 DataXplorer – An interactive data analysis and visualization app built with Streamlit. Upload datasets, explore data, compute value counts, apply group-by operations, and generate various plots effortlessly.

PDF Text Summarization and QA app built using FastAPI, Langchain, and Streamlit

Phishing attacks have grown to be a big problem for people and businesses in the modern digital age.SMS messages are one of the most widely used channels for phishing attempts.This project seeks to investigate the application of cutting-edge machine learning and NLP methods for the identification of phishing SMS (smishing) messages.

Deep Sea Vision is an AI-powered underwater object detection system that supports ROVs, ESP32-CAM, and uploaded media, with both local and cloud-based (Streamlit) versions. Built using YOLO, Python, and Streamlit, it enables real-time detection, with future plans for object tracking, depth estimation, and mobile app integration. 🚀🌊

Smart ATS is an innovative AI-powered tool designed for HR recruiters to streamline candidate evaluations. By comparing resumes to job descriptions, it provides an accurate match percentage, identifies missing keywords, summarizes profiles, and highlights skill gaps. Simplify your hiring process with Smart ATS!

This project is a web-based application that allows users to search for images from Unsplash by entering a prompt. It retrieves and displays relevant, high-quality images from Unsplash, providing a simple and user-friendly interface for browsing photos.

Image style transfer using perceptual loss. A web application to style images.

Welcome to 🔍 MATCH, an AI-powered application designed to match consultant resumes with suitable missions. Leveraging OpenAI's GPT-4, this tool provides a seamless way to analyze resumes, match skills and experiences, and offer intelligent insights to consulting sales representatives.

AR puzzle using Python

This is a simple implementation of arcticle summarization using Google's PaLM API text completition and streamlit.

Floodd provides a comprehensive analysis of flood events, utilizing a range of visualizations to explore patterns, trends, and impacts based on geographical data, temporal factors, and causal information.

O projeto é uma aplicação Python desenvolvida com o framework Streamlit, criada para construir uma Pokédex ao extrair dados e imagens dos Pokémon. Os dados são processados e armazenados em um arquivo CSV, permitindo a criação de uma página web interativa.

This web app utilizing OpenAI (GPT-4) and LangChain LLM tools. Application includes an SQLite DB for login/authentication and message storage for later retrieval. Users can upload/embed their own PDF documents for chatbot reference. The user can then interact with a GPT-4 chatbot intended for the user's specified input, context, and scenario.

This code uses Streamlit and OpenCV to create a real-time facial recognition web app. It captures video, detects faces using Haar cascade classifier, and highlights them.