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Chhabii/mentalhealthmatter-backend

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Basic Overview

MHM(Mental Health Matters) is an AI driven web app whose main objective is to raise awareness and promote mental health well-being

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Features

  1. Stressometer: MHM utilizes the power of Artificial Intelligence to predict and assess stress levels. By analyzing various factors, such as sleep patterns, exercise routines, and self-reported emotions, the system provides users with insights into their stress levels. This feature aims to enhance self-awareness and encourage proactive stress management.

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  1. Doctor AI Chatbot: MHM includes an interactive chatbot powered by ChatGPT that acts as a virtual doctor. Users can communicate with the chatbot, describing their symptoms and concerns, and receive automated responses based on the input provided. While the chatbot is not a substitute for professional medical advice, it can provide initial guidance and suggestions for seeking appropriate help.

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  1. Doctor Recommendation: To assist users in finding suitable mental health professionals, MHM incorporates a recommendation system. By analyzing user messages and understanding their specific needs, the system recommends psychiatrists who specialize in relevant areas. This feature aims to connect individuals with the right professionals, facilitating access to the support they require. image

  2. MHM Blog: The project includes a dedicated blog section where users can share their experiences, insights, lifestyle tips, and recommendations related to mental health. The blog provides a platform for fostering community engagement, promoting discussions, and building a supportive network for individuals interested in mental health matters.

Pre-requisites

Before you start working with the application make sure you have following installed

Installation

To get started with MHM, follow the steps

  1. Clone the repo
git clone https://github.com/Chhabii/MHM.git
  1. Install all requirements
pip install -r requirements.txt
  1. Start the server and you are good to go
python manage.py runserver

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