Skip to content
#

streamlit-app

Here are 20 public repositories matching this topic...

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! 🧙‍♂️🍽️

  • Updated Aug 25, 2024
  • Python

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👇

  • Updated Oct 12, 2024
  • Python

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! 🚀🎨

  • Updated Mar 6, 2025
  • Python

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.

  • Updated Mar 24, 2025
  • 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.

  • Updated Nov 27, 2024
  • Python

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.

  • Updated Mar 30, 2025
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the streamlit-app topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the streamlit-app topic, visit your repo's landing page and select "manage topics."

Learn more