MindTric 🧠✨

A website for creating awareness and helping people with various psychological problems.

This project is a web application designed to offer support and information on mental well-being. It also serves as a technical demonstration of integrating multiple backend services and APIs, showcasing a robust implementation of CORS between different resources.

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🚀 Key Features

• Mental Health Awareness: Provides resources and information to help users understand various psychological issues.
• AI-Powered Assistance: Integrates Google's Generative AI to offer interactive support.
• Multi-Service Architecture: Demonstrates a real-world use case of running Django and Flask services together.
• API & CORS Implementation: Showcases the correct way to handle API communication and manage Cross-Origin Resource Sharing (CORS) between a primary backend and microservices.

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🛠️ Tech Stack

• Backend: Python, Django, Flask
• Frontend: HTML, CSS, JavaScript
• APIs: Google Generative AI, Google API Services

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📋 Getting Started

Follow these instructions to get a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Make sure you have the following installed on your system:

• Python 3.8+
• pip (Python package installer)
• Basic knowledge of how to work with APIs and environment variables.

Installation

1. Clone the repository:

   git clone [https://github.com/Angad2005/Hacky.git](https://github.com/Angad2005/Hacky.git)

2. Navigate to the project directory:

   cd Hacky

3. Install the required dependencies:

   pip install django flask flask-cors google-generativeai

4. Set up Environment Variables: This project requires API keys to function correctly. Create a .env file in the root directory and add your keys there.

   API_KEY_GOOGLE=your_google_api_key_here
   

   Note: Ensure the .env file is listed in your .gitignore file to prevent exposing your secret keys.

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▶️ Usage

Since this project uses both Django and Flask, you will likely need to run both servers.

1. To run the Django server:

   python manage.py runserver

   The application will be available at http://127.0.0.1:8000/.

2. To run the Flask microservice: (Assuming your Flask app file is named app.py)

   python app.py

   The Flask service will likely run on a different port, such as http://127.0.0.1:5000/.

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📜 License

This project is licensed under the MIT License. See the LICENSE file for more details.

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