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maker mission


                                        Animal Sounds Detector in Google Teachable Machine

                 In this project, you'll build a voice detection model that can recognise different animal sounds using Google
                 Teachable Machine. This can be useful for educational tools, animal identification apps or even as a fun
                 project for learning about sound recognition.
                 To make  animal sounds  detector  model  in  Google  Teachable  Machine
                 follow the given steps:



                  STEP - 1    Select the Audio Project option on Google Teachable Machine.






                                                STEP - 2   Record clear audio  clips of animal sounds for  training the
                                                            model.





                  STEP - 3   Upload  the audio  clips  to  Google  Teachable Machine and
                              label them according to the animal sound.








                                               STEP - 4   Train your  model  using  the uploaded  audio  clips.  Google
                                                           Teachable Machine will process the sound files and learn to
                                                           distinguish the differences between the various animal noises.







                  STEP - 5   Test your model by playing  animal sounds and checking  if
                              the model correctly identifies the animal based on the sound.
                              Adjust the samples and retrain if necessary.




                                               STEP - 6     Once the model works well, export it and integrate it into an
                                                            app or project where it can detect animal sounds in real-
                                                            time.










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