Real-time video and audio processing on Streamlit

Real time video and audio processing examples with Streamlit and streamlit-webrtc

Ai Object Detection - State of the Art Yolov8 by Ultralytics Integration with Streamlit WebRTC

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🔭 Real-time Streamlit Facial Emotion Recognition web application to monitor student's mood in a classroom

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Musition: Real-time emotion-driven music recommendations system using AI and deep learning. Automated facial and hand gesture data collection and emotion recognition training, reducing manual work by 50%. Tech stack: Streamlit-WebRTC, OpenCV/MediaPipe, TensorFlow/Keras, NumPy, Python, JavaScript.

This repository contains the Bike Helmet detection using YOLO in streamlit.

A drowsiness detection application created using mediapipe, streamlit and streamlit-webrtc

This application enables real-time voice chat using Streamlit and OpenAI's Realtime API, featuring streamlit-webrtc for audio streaming without relying on the server's microphone.

using redis and insightface models for creating a state of the art facial recogntion attendance system

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In the present repository a streamlit webrtc program has been built in order to achieve some easy deployments and visualization of object detection algorithms. In this case, an integration of the original yolov3 predictions has been done as a test.

A Streamlit custom component for real-time voice conversations with OpenAI's GPT using WebRTC for low-latency audio streaming.

This repository showcases my knowledge in Python libraries like Mediapipe, OpenCV, NumPy, TensorFlow/Keras, Streamlit-WebRTC and AV, demonstrating my skills in real-time expression classification tasks.

Streamlit UI for WebRTC object detection and tracking

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This is a simple ai assistant for car drivers to tell about traffic light and other stuffs. You can deploy this project on cloud and then can access from web browser.

Streamlit Object Detection with WEBRTC and YOLOv5

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Using MoveNet with streamlit-webrtc for pose detection

A streamlit-webrtc based package for visualisation of real-time CV processing

This is a simple real-time face attribute classification using tensorflow model and streamlit-webrtc framework.

Real-time hand tracking and gesture recognition (Fist, Peace, Open Hand, individual fingers) running live in the browser via Streamlit WebRTC.

Emotion based music recommendation system is built by using mediapipe and keras. also opencv and streamlit is used to create a webapp. for capturing the webcam in the browser i used streamlit-webrtc module.

This is my attempt to use a convolutional neural network multi-output model that classifies images of people based on their ethnicity and gender, and predicts their age.