Mood Mate

Mood Mate is a web-based application designed to assist individuals in managing their mental well-being. It provides real-time chat features, mood tracking, and an AI-powered chatbot to offer a supportive environment. The platform aims to help users reduce loneliness, interact with others or the AI chatbot, and improve their mental health.

Table of Contents

• Introduction
• Design
• Technologies Used
• Functionalities

Introduction

Mood Mate is a platform designed to help users with their mental health by offering a safe and interactive environment for chatting with friends or an AI chatbot. The AI chatbot is integrated with information sources like Google and Wikipedia to ensure accurate and safe responses.

Key Uses:

• Stress reduction through interaction with the AI chatbot or friends.
• Helps alleviate loneliness.
• Acts as an "imaginary friend" when needed.
• Provides children with a safe platform to get homework help.
• The chatbot is designed not to disclose sensitive information.
• A potential tool to help combat depression.

Design

Architectural Design

Mood Mate's architecture leverages a Node.js backend and a Next.js frontend to manage user interactions, data storage, and API communication. The backend efficiently handles requests from the client and integrates with various APIs to provide real-time responses.

• Backend: Node.js handles communication with APIs and manages data flow.
• Frontend: Next.js for server-side rendering, fast load times, and user-friendly interface.
• Database: MongoDB is used for storing user data and messages, providing a scalable and flexible solution.

System Overview:

• Client: The browser-based front-end built with Next.js.
• API: Handles communication between the client and backend.
• Database: MongoDB manages user messages and session data.

Technologies Used

• Next.js: Provides server-side rendering (SSR) and static site generation (SSG) for fast, efficient page loading. Ideal for handling real-time chat and mood-tracking features.
• Node.js: Used for building the backend, ensuring speed, efficiency, and scalability.
• MongoDB: A NoSQL database chosen for its flexible schema, scalability, and efficient handling of diverse data structures.
• TypeScript: Ensures better code quality with static typing, improving maintainability and catching errors early in the development process.
• Tailwind CSS: A utility-first CSS framework used for styling, providing fast and flexible design implementation.
• Prisma: A type-safe ORM that simplifies database management, making it easier to interact with MongoDB.
• NextAuth: Manages user authentication and authorization seamlessly with support for various authentication providers.
• Pusher: Enables real-time communication, allowing live chat functionality and instant message updates.
• Chatbase: Enhances chatbot performance by providing analytics and insights to improve responses.

Functionalities

1. User Registration and Authentication:

   • NextAuth handles secure user registration and sign-ins.
   • Real-time updates using Pusher ensure quick reflection of user actions.

2. Real-time Messaging:

   • Pusher delivers real-time message updates, enabling smooth and interactive communication between users.

3. Group Chat:

   • Pusher supports group chat functionality, ensuring real-time message delivery to all participants in a chat.

4. AI-Powered Chatbot:

   • Chatbase powers the AI chatbot, providing advanced analytics to improve chatbot interactions and user satisfaction.

The System Design Document is as follows: https://drive.google.com/file/d/1o_pwZjK4CH5lqE8IObYPTwhS51ZQ9jMn/view?usp=sharing