No alphabet output in real time sign language to speech conversion project

Checkpoints to Diagnose the Problem

1. Camera/Input Feed

• Make sure the video frame is correctly captured and hand is detected.
  
  

Check with:

cv2.imshow(“Frame”, frame)

•  If the input to your model is black/empty or missing the hand, the model will not predict anything.
  
  

2. Preprocessing

• Is the hand image being resized, normalized, or transformed correctly before feeding to the model?
  
  

Log or visualize the input tensor sent to the model:
print(image_array.shape)  # Should match model’s expected shape

3. Model Prediction

• Is the model loading correctly and producing predictions?
  
  

Check:

print(predictions)

• If it’s all zeros or nan, the model may not be getting usable input.
  
  

4. Class Mapping

• Are the predicted indices correctly mapped to alphabets (e.g., A-Z)?
  
  

predicted_letter = classes[np.argmax(predictions)]

• A wrong or missing classes list will result in blank or wrong outputs.
  
  

5. Threshold / Confidence

• Are you using a confidence threshold (e.g., if confidence > 0.7:)?
  
  

• Temporarily lower it or print all predictions to debug.
  
  

6. Text-to-Speech (TTS) Integration

• Make sure the predicted letter is actually being sent to TTS engine.
  
  

Print the letter before speaking:

print(“Predicted:”, predicted_letter)