Streamlit App Starter Kit helps kick start your Streamlit app creation.
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Updated
May 13, 2024 - Python
Streamlit App Starter Kit helps kick start your Streamlit app creation.
This repo aims to build a web app that supports speech recognition system 😃 It's simple to use and understand 😄
Streamlit app for "Honey, I broke the PyTorch model" - Talk @ PyCon & PyData 2023
Text summation using python, deep learning, machine learning, transformer, huggingface, openai and langchain
Interactive web application for exploring and visualizing probability distributions
Telegram bot that uses preset prompts to help users communicate like native English speakers.
The Disaster Monitoring System is an app for flood prediction and earthquake classification. It uses water level, weather, and sensor data for insights.
Transform fridge leftovers into culinary masterpieces 🥗🍝. Perfect for chefs and novices alike, our app suggests personalized recipes based on your available ingredients. Say goodbye to food waste 🚫🗑️ and hello to delicious, creative meals 😋. Let AI magic turn your fridge chaos into gourmet order! 🧙♂️🍽️
About The main purposes of this analysis are to summarize the characteristics of variables that can affect the loan status and to get some ideas about the relationships among variables.
The Gesture Detection Web-Based App is an innovative application that captures and interprets math gestures drawn in the air, using the Gemini API. This tool is designed to facilitate interactive learning and provide instant feedback on math-related queries by recognizing gestures and converting them into meaningful responses. Demo Video👇
access SQL data insight in easiest possible way
Unleash the power of mathematics with this interactive Graph Generator! 🧮📈 Visualize Cartesian, Parametric, Polar, and 3D Surface equations dynamically. Simply enter your mathematical expression, tweak the parameters, and watch your graph come to life! 🚀🎨
Laptop Price Prediction
An AI-powered tool for pneumonia detection in chest X-rays using deep learning. Built with MobileNetV3 Small architecture, this application achieves 93% accuracy with fast inference (~45ms/image) and provides an intuitive web interface with adjustable threshold settings for balancing sensitivity and specificity.
Repository connected to streamlit cloud to monitor and push changes made in code to streamlit server.
This application is a U.S. stock explorer tool written in Python. It uses Pandas to store data and perform efficient operations, Altair for additional visualizations, the yfinance library for accurate, real-time data, and Streamlit to provide an interactive user interface.
Simple Meditation App in python
A personal portfolio app built using Streamlit, showcasing projects, skills, and achievements. It features an interactive, user-friendly design with dynamic sections for project descriptions, visualizations, and contact information. Ideal for sharing work and engaging with potential collaborators.
This application is a stock portfolio tool written in Python. It uses the yfinance library to pull real-time data that provides accurate results. The application also uses Altair for additional visualizations, Pandas to store data and perform efficient operations, and Streamlit to provide an interactive user interface.
This repository contains a Deep Fake Detection model that uses Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks to analyze videos and detect deepfake content. The model extracts frames from videos, processes them using deep learning techniques, and determines whether the video is real or fake based on trained data.
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