TherapEase.ai

Mental Health Game Application

This is a mental health game application built with MERN stack and using Machine learning models - BART and Stable Diffusion-Xl. The application allows users to play games using pictures, and based on the response times for each question, therapists can gain insights into the patient's mental state.

Features

• Play mental health games using pictures. Similar to Pictionary.
• Pictures for pictionary game are generated using Stable Diffusion-XL on the go.
• Therapist are allowed to add new questions, and their respected scores.
• Track response times for each question.
• Therapists can gain insights into the patient's mental state based on response times.
• Therapist will be provided with the summary and visualization of all the parameters from the Pictionary Game
• We have classified the patients status it based on the parameters and behavioural patterns as stated by WHO.

Technologies Used

• Node.js

• React

• Express.js

• MongoDB (optional, for storing user data and game results)

• Machine Learning Model - BART, Stable Diffusion-XL.

• BART is a transformer encoder-encoder (seq2seq) model with a bidirectional (BERT-like) encoder and an autoregressive (GPT-like) decoder. BART is pre-trained by (1) corrupting text with an arbitrary noising function, and (2) learning a model to reconstruct the original text. BART is particularly effective when fine-tuned for text generation (e.g. summarization, translation) but also works well for comprehension tasks (e.g. text classification, question answering). This particular checkpoint has been fine-tuned on CNN Daily Mail, a large collection of text-summary pairs.

BART -> https://huggingface.co/facebook/bart-large-cnn

Installation

1. Clone the repository:

   git clone https://github.com/your-username/TherapEase.ai.git
   

2. Navigate to the project directory:

   cd TherapEase.ai
   

3. Install dependencies for the server:

   npm install
   

4. Navigate to the client directory:

   cd frontend
   

5. Install dependencies for the client:

   npm install
   

Usage

1. Start the server:

   cd backend
   node index.js
   

2. Start the client:

   cd frontend
   npm start
   

3. Open your browser and navigate to http://localhost:3000 to access the application.

4. Play mental health game, the rest is taken care by our backend and summary is viewed in doctors/therapist view window.