An AI assistant that monitors your health and provides suggestions for improvement.

Features • Getting Started • Storage • Usage

Features

• Instant Messaging: Engage in real-time conversations with friends and colleagues.
• AI-Powered Responses: Toggle AI responses on and off to enhance your messaging experience.
• Diverse AI Models: Choose from a wide selection of AI models tailored to your needs.
• Live Status Updates: Stay informed with live updates on your contacts' online, offline, or idle status.
• Connect with Friends: Send and receive friend requests to build your network.
• Invite and Share: Easily invite others to your conversations and share your experiences.
• File Sharing: Attach and share files up to 10 MB effortlessly.
• Health Tracking: Fill out health forms to monitor your habits and well-being over time.
• Visualize Your Data: Use graphs to visualize statistics from your health forms.
• Export Data: Export your form data for further analysis or record-keeping.
• Advanced Search: Utilize full-text searching, custom filters, and sorting options to quickly find specific messages.

Getting Started

To build project you must have cargo and node installed on your system.

1. Clone the repo locally

git clone https://github.com/Aappo001/AI-Personal-Health-Assistant.git
cd AI-Personal-Health-Assistant

2. Set required environment variables inside a .env file. The JWT_KEY variable must be set in order for the project to compile. The value of the variable does not matter, just make sure it is consistent. HF_API_KEY is needed to generate AI responses, you can get yours here

cd api
echo "JWT_KEY={YOUR_JWT_KEY}" >> .env
echo "HF_API_KEY={YOUR_API_KEY}" >> .env
echo "SQLX_OFFLINE=true" >> .env

3. Build the backend with cargo

cargo b -r

4. Build the frontend with vite/npm

cd ../client
npm i
npm run build

5. Start up the backend server

cd ../api
cargo r -r

6. Visit https://localhost:3000 in your browser

Storage

All of the data of the application is stored inside the api.db file by default. You can find the file on the following locations depending on your operating system.

Platform	Value	Example
Linux	$XDG_DATA_HOME or $HOME/.local/share/ai-health-assistant-api	/home/alice/.local/share/ai-health-assistant-api
macOS	$HOME/Library/Application Support/ai-health-assistant-api	/Users/Alice/Library/Application Support/ai-health-assistant-api
Windows	{FOLDERID_RoamingAppData}\ai-health-assistant-api	C:\Users\Alice\AppData\Roaming\ai-health-assistant-api

Usage

This is an example of the output when running the application with the --help flag on a Linux machine. The output of the command will be different to fit the file system conventions of the host operating system. The command usage for the backend is the following:

The backend API for the chat application

Usage: ai-health-assistant-api [OPTIONS]

Options:
  -u, --db-url <DB_URL>  The URL of the database to connect to Will default to DATABASE_URL variable inside .env file if a .env file is found in the current project directory, otherwise `dirs::data_dir` if not provided [default: sqlite://{$XDG_DATA_HOME}/ai-health-assistant-api/api.db]
  -p, --port <PORT>      The port to listen on for connections [default: 3000]
  -d, --debug            Enable trace debugging for tokio-console
  -h, --help             Print help
  -V, --version          Print version