Sign Language Recognition with Camera in Colab
Budget: $10 – $30 USD
I am working on a project in Google Colab that involves recognizing both static and dynamic Arabic sign language signs through a camera. The project is almost complete but requires the camera code to be implemented ,and the dataset is from kaggle. i need the project done in 2 days.
Key Features:
- The camera should recognize both static signs (individual letters) and dynamic signs (words/phrases).
- A logging system that records recognized signs.
- The system should provide real-time notifications for recognized signs.
The logging system should utilize a database (such as firebase).
Ideal Skills and Experience:
- Proficient in Python and familiar with Google Colab.
- Experience with camera integration and real-time video processing.
- Knowledge of sign language would be an advantage but is not necessary.
- Previous experience working with logging systems and databases, particularly Firebase.
- Ability to deliver quality code in a timely manner.
The recognized signs should be output in text format. The recognized signs should be output in JSON format. The project should output results directly to the console. The logging system should utilize **python** to record the recognized signs.
Key Features:
- The camera should recognize both static signs (individual letters) and dynamic signs (words/phrases).
- A logging system that records recognized signs.
- The system should provide real-time notifications for recognized signs.
The logging system should utilize a database (such as firebase).
Ideal Skills and Experience:
- Proficient in Python and familiar with Google Colab.
- Experience with camera integration and real-time video processing.
- Knowledge of sign language would be an advantage but is not necessary.
- Previous experience working with logging systems and databases, particularly Firebase.
- Ability to deliver quality code in a timely manner.
The recognized signs should be output in text format. The recognized signs should be output in JSON format. The project should output results directly to the console. The logging system should utilize **python** to record the recognized signs.