# Project Name: “Sign Language Translation with emotional base multi model,3D Avatar and Adaptive Learning.”
SLIIT Final Year Project
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## Main Objective
The main objective of this project is to develop a Sign Language Translation System that bridges the communication gap between individuals who use sign language and those who do not. The system aims to facilitate effective communication and understanding between deaf/mute individuals and the wider community.
## Main Research Questions
1. How can finger-spelled sign language be accurately translated into spoken languages?
2. How can text or audio be transformed into sign language for effective comprehension by deaf individuals?
3. How can sign language learning be personalized and interactive to meet the individual needs and preferences of users?
4. How can sign language gestures be accurately identified and translated using image and video processing techniques?
5. How can emotions be incorporated into sign language translation to enhance communication and expression?
## Individual Research Questions and Objectives
### Member: Ranaweera R M S H (IT20251000)
**Research Question:**
- How can sign language translation be achieved by identifying audio and text components in a video and translating them into sign language using 3D components?
**Objectives:**
- Pre-process video data to extract audio and text components.
- Develop techniques to translate audio and text into sign language.
- Integrate sign language translation with 3D components to create a visually appealing sign language video.
- Evaluate the accuracy of sign language translation and the overall effectiveness of the demonstration.
- Apply computer graphics techniques to enhance the realism and visual quality of the sign language animations.
