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Fall Detection System using Machine Learning | Streamlit API + Real-Time Detection

🚨 Fall Detection System using Machine Learning + Streamlit API

In this video, I showcase my Machine Learning project on Human Fall Detection, which uses Streamlit as an API and interactive web interface to perform real-time predictions on images and videos.

This system is designed to detect falls instantly and can be applied in elderly care, healthcare monitoring, and smart surveillance systems.

🔍 Project Highlights:

Real-time fall detection using ML models
Streamlit-based API for easy deployment
Interactive web interface for user input
Supports both image and video analysis
Clean visualization of prediction results

🧠 Technologies Used:

Python
Machine Learning (CNN)
OpenCV
TensorFlow / Keras
Streamlit (for API + UI)

📊 Output Features:

Fall / No Fall prediction
Probability bar graph
Class distribution pie chart
Live video frame analysis

💡 Applications:

Elderly safety monitoring
Smart hospitals & healthcare
CCTV-based surveillance systems

👍 If you found this project useful, don’t forget to Like, Share & Subscribe!

#MachineLearning #FallDetection #Streamlit #AIProject #ComputerVision #DeepLearning #Python #MLProject

Видео Fall Detection System using Machine Learning | Streamlit API + Real-Time Detection канала Rishikesh
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