My Digital Clone

This project aims to develop an AI model that automatically responds to WhatsApp messages with personalized responses. The AI model will be trained using Python and the goal is to mimic my personality as much as possible.

Table of Contents

1. Prerequisites
2. Installation
3. Training the Model
4. Deploying the Model
5. Usage

Prerequisites

1. Python 3.10
2. WhatsApp Web

Installation

1. Clone the repository

   git clone https://github.com/MSH4R1F/my-digital-clone.git

2. Navigate to the project directory

   cd my-digital-clone

3. Install required packages

   pip install -r requirements.txt

4. Configure environment variables Create a .env file in the root directory and add the necessary variables such as API keys or tokens if needed.

Training the Model

1. Data Collection

   You will have to provide your own past messages. You can do this by using the export button on your WhatsApp and export it in the format you want it to.

2. Data Preprocessing

   Run the data_preprocessing.py script to clean and prepare the data for training.

   python data_preprocessing.py

3. Training

   Run the train_model.py script to train your model.

   python train_model.py

Deploying the Model

Run the deploy.py script to deploy your trained model.

python deploy.py

Usage

After deploying, the model will start listening for incoming WhatsApp messages. Once it detects a message from an allowed contact list or group, it will generate a response based on the trained model and send it automatically.