Change your cover photo
Upload
Change your cover photo
I am an developer in robotics and ai I have made many projects till now I am studying 8 grade
This user account status is Approved

This user has not added any information to their profile yet.

SignSpeak: Al-powered Sign Language Translator with Audio Output
Arduino UNO R4 WiFi

SignSpeak is a real-time sign language translation system that employs Arduino Uno R4 WiFi board, machine learning model, and speaker. The hand movements are sensed by a flex sensor which is then converted into an Al models for sign recognition via signals processed by the Arduino. The texting of translation appears on the mobile app as audio output comes from the loudspeaker at the same time for better communication. I choose Arduino r4 Wi-Fi because it has Wi-Fi and Bluetooth for easy connection to mobile phone and it is simple to code by everyone especially beginners.

Project objectives:
Aid communication: Provide a means for non-speaking individuals to communicate with those who don't understand sign language.

Real-time translation: Enable real-time translation of sign language into text and speech.

Accessibility: Ensure the system is easy to use, especially for beginners.

Functionality:

1. Hand signs captured by flex sensors on a glove.

2. Converting sensor data into digital signals with Arduino Uno R4 WiFi.

3. The Al model recognizes the signs in real- time.

4. Displaying translated texts on a mobile app.

5. Playing speech converted from the translated text on the speaker.

Materials:
1.Arduino Uno R4 WiFi: Provides Wi-Fi and Bluetooth connectivity for easy communication with the mobile app.

2.Flex sensors: Detect hand movements and gestures.

3.Machine learning module: Uses TensorFlow Lite for Microcontrollers to recognize sign language gestures.

4.Glove: A glove fitted with flex sensors for capturing hand movements.

5.Speaker: Outputs the translated text as speech.