AiMessage - Real-Time Messaging Platform

Overview

AiMessage is a full-stack AI messaging application that combines real-time communication with mental health awareness features. Built with modern web technologies, it demonstrates expertise in database design, real-time data management, NLP, and scalable architecture. Used tools like sentiment, React, Next.js, Prisma (with MySQL (Aiven)), Tailwind CSS, Javascript, Pusher, Github+Google OAUTH, and TypeScript for the complete deployment of this application.

Screenshots

Secure login interface with modern authentication

Real-time conversation interface with message history

User profile management and customization

Rich media support with image sharing capabilities

Conversation management with delete functionality

Key Features

• Real-Time Messaging: Instant message delivery powered by Pusher
• User Management: Secure authentication and profile management
• Conversation Management: Support for one-on-one and group conversations
• Message History: Efficient storage and retrieval of conversation history
• Mental Health Analysis: Real-time sentiment analysis and emotional state detection
• Responsive Design: Fully responsive interface for all devices

Technical Implementation

Database Design

• Designed and implemented a scalable MySQL database schema
• Optimized for real-time message delivery and status updates
• Implemented efficient query patterns for message threading and conversation history
• Created tables for Users, Conversations, Messages, Participants, and Mental Health Insights

Mental Health Analysis Features

• Real-time sentiment analysis of messages
• Emotional state detection (Positive, Negative, Neutral)
• Risk level assessment for mental health concerns
• Keyword detection for mental health-related terms
• Automated recommendations based on conversation sentiment
• Conversation-level sentiment tracking

Technical Stack

• Frontend: Next.js, React, TypeScript, Tailwind CSS
• Backend: Next.js API Routes, Prisma ORM
• Database: MySQL
• Real-time: Pusher
• Authentication: NextAuth.js
• State Management: Zustand
• AI/NLP: Natural, Sentiment.js

Project Highlights

• Designed and implemented a scalable database architecture
• Created efficient query patterns for real-time messaging
• Integrated mental health analysis features with traditional messaging
• Implemented secure user authentication and authorization
• Developed a responsive and intuitive user interface

Setup Instructions

1. Clone the repository:

git clone https://github.com/sandeepsalwan1/AiMessage
cd AiMessage

2. Install dependencies:

npm install

3. Configure environment variables: Create a .env.local file with:

DATABASE_URL=mysql://username:password@localhost:3306/aimessage
NEXTAUTH_SECRET=your_nextauth_secret
NEXTAUTH_URL=http://localhost:3000
PUSHER_APP_ID=your_pusher_app_id
PUSHER_APP_KEY=your_pusher_app_key
PUSHER_SECRET=your_pusher_secret
PUSHER_CLUSTER=your_pusher_cluster

4. Start the development server:

npm run dev

Skills Demonstrated

• Database Design and Optimization
• Real-time Data Management
• Complex SQL Query Writing
• Full-stack Web Development
• API Design and Implementation
• User Authentication and Security
• Responsive UI Development
• Natural Language Processing
• Performance Optimization