Hands to Voice - Turning Sign Language to Speech using Machine Learning
The Project
"From Hands to Voice: Turning Sign Language into Speech with Machine Learning!" By Finosha Antonia, 10 years old This project helps computers understand hand signs using image recognition and machine learning. It was created to help people who use sign language communicate more easily with those who don’t know it. Finosha trained the computer using the Machine Learning for Kids website by uploading pictures of different hand signs and teaching the computer what each one means. Then, using a webcam, the computer can see the hand sign, recognize it, and even speak it out loud using a Text-to-Speech tool! Finosha was inspired by wanting to help deaf or hard-of-hearing people feel more connected. She thought: "What if the computer could talk for them by watching their hands?" She loves technology and wanted to build something that uses AI to do something good for others. 😅 What Was Difficult? Getting the computer to recognize hand signs correctly was tricky! She had to take many photos of her hands in different lighting and angles. It was also a challenge to get the speech part to work smoothly with the sign recognition — but she didn’t give up! 🎉 Why It’s Awesome 🌟 Built by a 10-year-old innovator! Finosha didn't just use technology—she taught a computer to understand sign language! 🤖 Real machine learning in action! This isn’t just a game—it’s a working system that uses AI to recognize images and speak out loud. ❤️ Tech with heart. It’s a great example of how kids can use technology to make life easier and more inclusive for everyone. 🚀 Inspires big dreams! If a 10-year-old can build something this amazing, imagine what she’ll create next! 🌟 "Changing the world, one hand sign at a time — created by Finosha Antonia, age 10."
