Solara AI Mental Health Chatbot

Table of Contents

• Project Overview
• Features
• Technology Stack
• Setup Instructions
  • 1. Clone the Repository
  • 2. Create a Virtual Environment
  • 3. Install Dependencies
  • 4. Migrate the Database
  • 5. Run the Development Server
• Usage
• User Interface Design
• Contributing
• License

Project Overview

Solara is a mental health support platform built with Django, designed to provide students with a safe and empathetic space to manage and improve their mental well-being. Through personalized journaling, real-time insights, and an interactive AI therapist, Solara helps users navigate emotional challenges with support tailored to their unique needs.

Features

• User Authentication: Secure registration, login, and logout using Django's built-in authentication.

• Interactive Chatbot: Solara, an empathetic AI mental health therapist, provides conversational support to help users manage their mental well-being.

• Journal: Users can create, view, and manage personal journal entries to track their thoughts and emotions over time.

• Recommendations: Personalized resource suggestions based on the sentiment analysis of journal entries, offering tailored content to support mental health.

• Data Visualization: Interactive graphs displaying mood trends based on journal entries, helping users gain insights into their emotional patterns throughout the week.

Technology Stack

• Django: A robust web framework for server-side logic.

• Python: The primary programming language utilized for development.

• HTML, CSS, Bootstrap: Technologies for structuring and styling the user interface.

• Mental Health JSON Files: Custom datasets providing responses for the chatbot.

• JavaScript: Enhances interactivity throughout the platform.

• SQLite: The default database for data storage in Django.

• SpaCy: Utilized for natural language processing in the conversational AI.

• Plotly: A powerful tool for creating interactive charts to visualize sentiment trends.

• Pandas: Used for data manipulation and preparation for visualizations.

• TextBlob: Analyzes sentiment to track mood changes.

Setup Instructions

1. Clone the Repository

git clone https:/WambiruL/solara_ai.git
cd solara_ai

2. Create a Virtual Environment

python -m venv myEnv

Activate the virtual environment:

• On macOS/Linux:

  source virtualEnv/bin/activate

• On Windows:

  virtualEnv\Scripts\activate

3. Install Dependencies

Install all the required Python packages using pip:

pip install -r requirements.txt

5. Migrate the Database

Run the following command to apply database migrations:

python manage.py migrate

6. Run the Development Server

Start the development server using:

python manage.py runserver

Open your browser and go to http://127.0.0.1:8000/ to see the application running.

Usage

1. Register: Sign up for an account using the registration form to create your profile.
2. Login: After successful registration, log in to your account to access all features of the application.
3. Explore Journal: Navigate to the journal section to create, view, and manage your entries.
4. Chat with Solara: Engage with the AI mental health therapist by typing your messages in the chatbox. The chatbot provides empathetic responses to support your mental health journey.
5. Receive Recommendations: After journaling, you can view personalized resource recommendations based on your entries.
6. Visualize Emotions: Access emotion graphs to track your sentiments over time and gain insights into your mental well-being.

User Interface Design

Landing Page

Sign In

Solara Bot

Journal

Resources recommendation

Data Visualization

Contributing

Contributions to Solara AI are welcome! If you would like to improve the project, please fork the repository and create a pull request with detailed information about your changes.

License

This project is licensed under the MIT License. You are free to modify, distribute, and use this project under the terms of the license.

Author : WambiruL