Sign Language Detection using Machine Learning
In this video, we will provide detailed explanation about sign language detection and recognition system project using yolo algorithm, this project will work on image based dataset and real time detection through laptop front camera. first user have to login with username and password, if the credential is correct then user can easily login in software. After successful login user entered in home page and there is three options:-
1. Image Detection:- In this module, user have to upload input image from dataset that contains different signs image, user have to select any of the sign and takes input and machine learning model will predict the sign of word and gave output.
2. Real-Time Webcam:- This feature will take input from laptop front camera and user have to place hand in front of camera and machine learning model will identify that particular sign.
American Sign Language Recognition using Python
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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