Project Overview

This project implements an AI-driven platform designed to connect users with agents based on shared interests and expertise. The application aims to foster positive connections and facilitate collaboration among users in a community-focused environment.

Table of Contents

1. Project Overview

2. Features

3. Technologies Used

4. Project Structure

5. Installation

6. Usage

7. Testing

8. Contributing

9. License

Features

• User registration and login system.

• Agent registration and profile creation.

• Matching mechanism based on shared interests and expertise.

• Feedback system for users to rate their interactions with agents.

• Admin dashboard to manage users and agents.

Technologies Used

• Python (Flask)

• MongoDB

• HTML/CSS (Bootstrap for styling)

• JavaScript (for frontend interactivity)

• Jinja2 (for templating)

• Flask-WTF (for forms)

• Flask-PyMongo (for MongoDB integration)

Project Structure

/AI_Agents_Project
│
├── app.py                  # Main application file
├── requirements.txt        # Dependencies
├── config.py               # Configuration settings
├── models                  # Directory for data models
│   ├── user_model.py       # User model
│   └── agent_model.py      # Agent model
├── templates               # Directory for HTML templates
│   ├── base.html           # Base template
│   ├── index.html          # Homepage template
│   ├── login.html          # Login page template
│   ├── register.html       # Registration page template
│   └── dashboard.html       # User dashboard template
└── static                  # Directory for static files (CSS, JS, Images)
    ├── css
    ├── js
    └── images

Installation

1. Clone the repository:

       git clone https://github.com/yourusername/AI_Agents_Project.git
       cd AI_Agents_Project
   

2. Create a virtual environment:

       python -m venv venv
       source venv/bin/activate  # For Linux/Mac
       venv\Scripts\activate     # For Windows
   

3. Install the required dependencies:

       pip install -r requirements.txt
   

4. Set up your MongoDB database and update the connection URI in config.py.

Usage

1. Run the application:

       python app.py
   

2. Open your web browser and go to http://127.0.0.1:5000 to access the application.

3. You can register a new user or log in with existing credentials to start using the platform.

Testing

To run tests, you need to create a separate test database in MongoDB. Update your config.py with the test database URI. Then run:

pytest