MindMate

A mental health chat assistant

Deploy Link : MindMate

Youtube Link : MindMate Youtube Explanation

Our project MindMate got 1st Position 😀 in it 👇️

Devfolio Link : MindMate Hackathon Project Link

Mindmate is a mental health AI powered chat assistant that guides and helps you to improve your mental health. Mindmate 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

MindMate 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

10. Need to have Node.js installed
11. Go to the Backend, Frontend, Websockerserver folder seperately and run for each npm install
12. Run Backend by, npm run dev or npm start
13. Run Frontend by, npm start
14. Run Websocketserver by, node index.js

Website Preview

HomePage

Login

Analysis

AI Chat