Audio Processing and Prediction System

This repository is a real-time fraud detecion system implemented in C, deployed raspberry pi 5. The system is designed to extract features from audio signals, make real-time fraud predictions using a machine learning model, and communicate results via MQTT. It also includes support for sending data to a remote server using cURL. (builded in 1 day for this hackathon. 😵‍💫)

Features

• Audio Feature Extraction: Utilizes MATLAB-generated C code to extract features from audio signals.
• Real-Time Prediction: Implements a machine learning model for real-time audio classification.
• MQTT Communication: Publishes and subscribes to MQTT topics for real-time data exchange.
• cURL Integration: Sends data to a remote server using cURL.
• Multithreading: Efficiently handles multiple tasks using pthreads.
• Logging: Logs system events to a file for debugging and monitoring for all system.
• Control Commands: Accepts commands to control the system via MQTT.

System Architetucre Design

Directory Structure

.
|-- config
|   `-- config.json
|-- include
|   |-- handlers
|   |   |-- command_handler.h
|   |   |-- controller_handler.h
|   |   |-- db_handler.h
|   |   `-- mqtt_handler.h
|   |-- services
|   |   |-- model_service.h
|   |   `-- sound_service.h
|   `-- utils
|       |-- config.h
|       `-- logger.h
|-- main
|   `-- service_main.c
|-- rename.py
|-- service_main
`-- src
    |-- handlers
    |   |-- command_handler.c
    |   |-- controller_handler.c
    |   |-- db_handler.c
    |   |-- mqtt_handler.c
    |   `-- queue_handler.c
    |-- services
    |   |-- model_service.c
    |   `-- sound_service.c
    |-- utils
    |   |-- config.c
    |   `-- logger.c
    |-- predict
    |   |-- predictRealTime.c
    |   |-- predictRealTime.h
    `-- extract
        |-- extractFeatures.c
        |-- extractFeatures.h

Getting Started

Prerequisites

Install the required libraries by running the following command:

sudo apt-get update
sudo apt-get install -y \
 libpaho-mqtt-dev \
 libcurl4-openssl-dev \
 libssl-dev \
 libasound2-dev \
 ffmpeg \
 build-essential \
 cmake \

Building the Project

To build the project, run the following command:

make

Running the Service

To run the service, execute the following command:

./service_main

Contributor

• Yok Machine Learning (Model)
• Pun Server Programming (setup communication and dashboard)
• Gun Machine Learning (Overview)
• ChinChin Machine Learning (Preprocessing)