Real time conversion of sign language to text using Machine Learning
Sign Language Detection using Machine Learning, this project developed using python programming language. This machine learning model is trained on large dataset of images with different signs so it can easily identify word sign, character and numbers. User have to first login with username and password. If the login details is correct then user easily entered into main page. In Home Page, there is three options Gesture Detection, Alphabet Sign Recognition and Numbers.
Letβs explore all the three functionality:-
- Gesture Detection:- It will detect word gesture, the laptop front camera will open and it detects real-time and try to recognize few signs like call, thank you, house, I love you, and yes etc. paralleley it will show accuracy of hand sign.
- Alphabet Recognition:- This option will take input real time from laptop camera and predict that particular character that will shown from hand sign and make the word from that particular hand sign and gave suggestion finally it converts into sentence.
- Number Recognition:- It will open number detection frame and detect number from hand sign with accuracy.
Sign Language Recognition System using Machine Learning, This project works on Images as well as real-time hand gesture detection from laptop webcam. User have to upload any hand gesture image to machine learning model then it will identify the gesture Similarly It will detect word gesture, the laptop front camera will open and it identify real-time and it try to recognize few signs like call, thank you, house, I love you, and yes etc. parallelly it will show accuracy of hand sign.
Sign language to text conversion project with source code in 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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