Harsh Panghal

"LipRead" is a ML project deployed on Streamlit, enabling seamless extraction of text from videos. It utilizes advanced lip-reading algorithms to convert spoken words into text in real-time, enhancing accessibility, searchability, and analysis of video content.

This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots.

Welcome to the Tableau Projects Showcase repository!

Trained a Keras neural network to recognize our own custom hand gestures, and that runs flawlessly on a CPU. I used Mediapipe for extracting hand landmarks (which runs a pipeline of TensorFlow neural nets under the hood), which will allow us to use relatively small training datasets for training on our new custom hand gestures.

Here I try to build interactive and data-driven web apps in Python using the Streamlit library.

Taking on the 100 days coding challenge! Let's make everyday count!