This project aims to develop a hand gesture detection system utilizing data analysis and Python programming to enable seamless communication for individuals with limited or no vocal ability. The project employs Google's Teachable Machine to create a Keras model for accurate hand gesture prediction, facilitating effective communication through non-verbal cues.
The project encompasses the following skills and technologies:
- Python Programming Language
- Data Analysis
- Machine Learning
- Keras
- Teachable Machine
The project's key highlights include:
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Bridging Communication Gaps: The system empowers individuals with limited or no vocal ability to communicate effectively using hand gestures, bridging communication barriers.
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Leveraging Machine Learning: The implementation of a Keras model for accurate hand gesture prediction enhances communication accuracy and efficiency.
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Utilizing Python Programming: The development of the hand gesture detection system using Python programming language demonstrates proficiency in data analysis and machine learning application.