BrainBuddy🧠🤝

A mental health chat assistant

BrainBuddy is a mental health AI powered chat assistant that guides and helps you to improve your mental health. BrainBuddy website provides a user-friendly UI to learn about mental health.

Features🚀

• AI chat assistant to take guidance about mental health.
• Analyse your mental health over a period of time.
• Get an Indication about your mental health condition with a graphical visualization.
• Editor's compiled articles to read and educate about mental health problems.
• Get emails from time to time with suggestions to improve your mental health.

Tech🛠️

System Design

BrainBuddy application runs on 4 server

• Frontend
• Backend
• WebSocket Server
• Email Server

Tech stack

• Frontend
  • React JS
  • Tailwind
• Backend
  • Node Js
  • Express Js
  • Gemini (Gen AI)
  • Web Sockets
  • Node Mailer
• Tools
  • Vercel
  • Render
  • Mongo DB
  • Firebase

How to Setup Locally?⚙️

Firebase Setup

1. Setup a new Firebase project
2. Add a Web App
3. Go to Authentication -> Sign-in Method
4. Enable Email/Password, Gmail as Provider
5. Go to the Project Settings of Web App and get your firebaseConfig object
6. Create .env in Frontend folder and add firebaseConfig as per .env.sample file
7. In the service accounts section, Generate new private key (json object).
8. Create .env in Backend folder and add new private key as per .env.sample file
9. Fill rest .env as per .env.sample files

Gemini Setup

• Get your Gemini (by Google) API_KEY from (https://ai.google.dev) and put in Backend .env as per .env.sample

MongoDB Setup

• Create a MongoDB Atlas (https://www.mongodb.com) account and get your URI and put in Backend .env as per .env.sample

Create Connection amongst Servers

• Put Url for Websocketserver in Backend .env (ex- WEBSOCKET_SERVER=ws://localhost:8802)
• Put Url for Backend and Websocketserver in Frontend .env (ex- REACT_APP_API_LINK=http://localhost:8800 and REACT_APP_WS_LINK=ws://localhost:8802)

Scripts to Install and Run

1. Need to have Node.js installed
2. Go to the Backend, Frontend, Websockerserver folder seperately and run for each npm install
3. Run Backend by, npm run dev or npm start
4. Run Frontend by, npm start
5. Run Websocketserver by, node index.js

Website Preview📰

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