This project is focused on integrating machine learning with hardware components to create intelligent systems. It aims to leverage the capabilities of hardware, such as sensors and microcontrollers, to enhance the performance and functionality of machine learning algorithms.

• Hardware Requirements: List of hardware components needed (e.g., Raspberry Pi, Arduino, sensors).
• Software Requirements: Necessary software tools and libraries (e.g., Python, TensorFlow, Arduino IDE).

1. Clone the repository:

   git clone https://github.com/psr1hitha/wehackproj.git

2. Navigate to the project directory:

   cd wehackproj

3. Install the required software and libraries:
   • Follow the installation guides for each component listed in the prerequisites.
4. Set up the hardware:
   • Connect the hardware components as per the project specifications.

• Detailed instructions on how to run the project.

• Guidelines for contributing to the project include coding standards, and how to submit pull requests.

• Mention the type of license for the project.

• Credits to libraries or contributors that helped in the development of the project.