SoulDiaryConnect

SoulDiaryConnect is an AI-powered system designed to support patients in their psychotherapeutic journey by enabling journaling with personalized AI feedback, while keeping the therapist connected and in control. The platform allows patients to log daily experiences, receive AI-generated motivational and clinical feedback, and stay in touch with their physician. The AI used is Llama 3.1:8B, running locally via Ollama.

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Features

• AI-Assisted Journaling – Patients can document their daily experiences and receive motivational feedback from an LLM.
• Personalized AI – Doctors can configure AI responses to provide clinical insights and tailor support to each patient.
• Intuitive User Interface – A web application with dedicated patient and doctor dashboards.
• Secure Data Management – Uses PostgreSQL for structured data storage.
• Advanced NLP Processing – Powered by Llama 3.1:8B, running locally with Ollama.
• Multi-User Access – Patients and doctors have separate roles and functionalities.

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Tech Stack

• Backend: Django
• Frontend: HTML, CSS, JavaScript
• NLP: Llama 3.1:8B via Ollama
• Database: PostgreSQL

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Installation Guide

1️. Clone the repository

git clone https://github.com/FLaTNNBio/SoulDiaryConnect2.0.git
cd SoulDiaryConnect2.0

2. Set up a virtual environment

python3 -m venv venv
source venv/bin/activate  # on Windows: venv\Scripts\activate

3. Install dependencies

pip install -r requirements.txt

4. Configure the database

Install PostgreSQL following the official guideline.
To exectute the queries:

python manage.py dbshell

Then:

\i souldiaryconnect.sql

Now edit setting.py to configure PostgreSQL:

DATABASES = {
    'default': {
        'ENGINE': 'django.db.backends.postgresql',
        'NAME': 'souldiaryconnect',
        'USER': 'your_user',
        'PASSWORD': 'your_password',
        'HOST': 'localhost',
        'PORT': '5432',
    }
}

Make database migrations:

python manage.py makemigrations

Run database migrations:

python manage.py migrate

5. Install and configure Ollama

5.1 Install Ollama

Download and install Ollama from the official website:

• Windows: Download the installer and follow the setup wizard
• macOS: brew install ollama or download from the website
• Linux: curl -fsSL https://ollama.com/install.sh | sh

5.2 Download the Llama 3.1:8B model

Once Ollama is installed, open a terminal and run:

ollama pull llama3.1:8b

This will download the Llama 3.1:8B model (~4.7GB).

5.3 Verify Ollama is running

Start the Ollama service (it usually starts automatically after installation):

ollama serve

Verify it's working:

ollama list

You should see llama3.1:8b in the list of available models.

Note: Ollama runs on http://localhost:11434 by default. The application is configured to connect to this endpoint automatically.

6. Start the server

python manage.py runserver

Roles & Functionality

Doctor

• Manage patients – Access and review patient journal entries.
• Customize AI responses – Configure the AI to tailor feedback generation.
• Monitor therapy progress – View clinical trends and intervene when necessary.

Patient

• Write personal journal entries – Document daily thoughts and emotions.
• Receive AI-generated feedback – Get motivational and therapeutic insights.
• View therapist's comments – See personalized feedback from the doctor.