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    0x07 How to learn machine learning (for humans)

    MakerChat
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    • MakerGram
      MakerGram last edited by MakerGram

      This Webinar Focussed on Learning Machine learning with available methods resource. Do you want to start machine learning and don't know where to start, Join the MakerChat 0x07 and explore the way humans learn machine learning 🤩!

      Gopi is working as a Machine Learning Engineer at FullContact Inc and running projects initiative, TinkerHub, he is very active in tech communities doing amazing work.

      Maker: Gopikrishnan Sasikumar
      Place: Zoom
      Date: 2nd August 2020
      Time: 8:00 PM

      Register here: https://forms.gle/KVoX3JixS9yj8C3K8
      photo_2020-07-29_18-55-44.jpg

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        anuradhasingh426 @MakerGram last edited by

        @MakerGram please send me meeting code and password to join today's session

        MakerGram 1 Reply Last reply Reply Quote 0
        • MakerGram
          MakerGram @anuradhasingh426 last edited by

          @anuradhasingh426 Please check your mailbox.

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          • MakerGram
            MakerGram last edited by

            MakerGram is Live Now!

            MakerChat 0x07: How to Learn Machine Learning (for Humans) by @GKS

            Watch LIVE @ https://www.facebook.com/makergram/videos/736833737153967/

            #MakerGramLearnings #MGLive #AI #ArtificialIntelligence #MachineLearning #Humans #MachineIntellegence #MakerChat

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              @salmanfaris No, still now , there is no improvements

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            • @amalkrishnam3 Hi, Were you able to make any progress.

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            • A

              I have been working on a similar project . In which I want to capture data using the PDM mic and trasmit it through the BLE available . I am new to hardware and these sensors so I am unable to make sense of the data I am reciving on the other side(central) that is my mobile device(iphone X) with BlueLight application. I am able to find a service and I am reciving some form of hex code,but I don't know how to convert it to wave files or don't know whether it's possible or not .

              If you guys have any idea or any resources that could help please do share.

              I am attaching my code below :

              #include <ArduinoBLE.h> #include <mic.h> // microphone library // Microphone Settings #define DEBUG 1 #define SAMPLES 800 mic_config_t mic_config = { .channel_cnt = 1, .sampling_rate = 16000, .buf_size = 1600, .debug_pin = LED_BUILTIN }; NRF52840_ADC_Class Mic(&mic_config); int16_t recording_buf[SAMPLES]; volatile static bool record_ready = false; // Updated UUIDs #define SERVICE_UUID "19B10000-E8F2-537E-4F6C-D104768A1214" #define CHARACTERISTIC_UUID_AUDIO "19B10001-E8F2-537E-4F6C-D104768A1214" // BLE Service and Characteristic BLEService audioService(SERVICE_UUID); // Corrected initialization with explicit value size and fixed length flag BLECharacteristic audioDataCharacteristic(CHARACTERISTIC_UUID_AUDIO, BLERead | BLENotify | BLEWrite, sizeof(recording_buf), true); void setup() { Serial.begin(115200); while (!Serial) delay(10); Serial.println("Initializing microphone..."); Mic.set_callback(audio_rec_callback); if (!Mic.begin()) { Serial.println("Mic initialization failed"); while (1); } Serial.println("Mic initialized."); Serial.println("Initializing BLE..."); if (!BLE.begin()) { Serial.println("Failed to start BLE!"); while (1); } BLE.setLocalName("SCT Audio"); BLE.setAdvertisedService(audioService); audioService.addCharacteristic(audioDataCharacteristic); BLE.addService(audioService); // Corrected writeValue call with explicit casting audioDataCharacteristic.writeValue((uint8_t)0); BLE.advertise(); Serial.println("BLE Peripheral is now advertising"); } void loop() { BLEDevice central = BLE.central(); if (central) { Serial.println("Connected to central device"); while (central.connected()) { if (record_ready) { // Plot the audio data in the Serial Plotter for (int i = 0; i < SAMPLES; i++) { Serial.println(recording_buf[i]); } // Transmit the audio data audioDataCharacteristic.writeValue((uint8_t*)recording_buf, 2 * SAMPLES); Serial.println("Audio data transmitted over BLE"); record_ready = false; } } Serial.println("Disconnected from central device"); } } static void audio_rec_callback(uint16_t *buf, uint32_t buf_len) { static uint32_t idx = 0; for (uint32_t i = 0; i < buf_len; i++) { recording_buf[idx++] = buf[i]; if (idx >= SAMPLES){ idx = 0; record_ready = true; break; } } }

              My overall project capture the audio using the pdm mic and transmit it through the BLE and we will do a audio processing throguh api(fast api) calls . I don't know whether it's the right way to do this,but that's the overall idea .

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            • @mkgrmAbhinand Sorry, no simulators are available.

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            • Have any simulator instead of Seeed XIAO nRF52840?

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