handwritten-text-detection

This webapp utilizes OCR technology to extract text from images. The application is built on the Streamlit framework, providing an easy-to-use interface for users. Simply upload an image containing text and the webapp will quickly analyze and display the extracted text for you.

knee-bend-counter

Knee bend exercise detector that counts the successful rep count only if the user bends the knee for more than 8 seconds by using Mediapipe and OpenCV . The condition for the knee to be in a bent stage is that the angle between the hip, knee, and ankle should be smaller than 140 degree. If angle is greater than 140 degrees then knee is said to be in a straight stage. If the user is unable to hold the knee in the bent stage, then a flag will appear, printing "keep your knee bent!" If the user holds the knee in the bent stage for more than 8 seconds, then the flag will print "good work!".

ml_models_from_scratch

This repository contains machine learning models implemented from scratch, without relying on external libraries or frameworks.

rahul-090

reverse-proxy-nginx-to-access-docker-container

social-distance-detector

A GUI based Social Distance and mask detector by using Tkinter for GUI , deep learning and transfer learning for training the models to detect social distance and mask in real time video feed

streamlit_face_detection

This webapp built on Streamlit is designed to detect faces in images. Users can upload an image and the app will analyze it to identify and highlight any faces present. The app is user-friendly and intuitive, with a simple interface that makes it easy to use even for those with limited technical expertise.

web-scrapping