Body Node 👨🏻🤝👨🏻 detection part : used tensorflow mediapipe blazepose model in real-time webcam in node red
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Updated
Sep 28, 2021 - HTML
Body Node 👨🏻🤝👨🏻 detection part : used tensorflow mediapipe blazepose model in real-time webcam in node red
This repo consists of all my JavaScript based mini projects
AR app to test different hair color in real time on video and images. Using MediaPipe Image segmentation task
GestureLock is a web application that utilizes MediaPipe library to detect hand landmarks and identify the gestures displayed.
Using machine learning to translate sign language to text as well as NLP to translate text to sign language.
This project leverages OpenCV and Mediapipe for real-time pose detection, transforming a workout into a tech-driven exercise. Users perform 16 pullups on each arm, tracked by angle detection algorithms. The system visualizes angles and counts, enhancing engagement and accuracy in physical health routines.
Vigyaan Project
Next Tech Lab's Website by the team ' sudo-Beholder ' for NTL Hack '2022. 🙂
WeARit is e-commerce website which gives virtual experience to users to try products virtually from home itself.
Basically it's open cv python project where user can draw any alphabets or number in the frame using his index finger tip and after that our model can recognize which alphabets or number is written.
Providing solutions to modern day tech problems, one image at a time. This product identifies if the image uploaded is acceptable in important documents, like PAN card and Voter IDs
Fitosaur Run: Jump to Stay Alive! 🏃♂️💥 Experience a fitness adventure as you control the dino with your real-life jumps in this Chrome Dino Run game with a twist! 🦖💪
Using Media Pipe to create Snapchat like filters
KW-Capstone-project : Korean Sign-Language Translator
The Sign Language Detector and Translator is an innovative web application that leverages the power of machine learning, Flask Python, and web development to bridge the communication gap between the Deaf and Hard of Hearing community and the hearing world.
A web application powered by machine learning models that predict the yoga asana performed by users. Designed to enhance the daily practice of yoga enthusiasts, this application offers real-time feedback on posture, enabling practitioners to refine their technique, elevate their practice, and mitigate the risk of injuries.
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