Echo 🔐

LAN-Based Encrypted Chat Application with AI Microservices

Echo is a secure, LAN-based real-time chat application that integrates end-to-end encryption, WebSocket communication, and AI-powered NLP microservices for intelligent message processing such as translation, summarization, toxicity detection, smart replies, and deadline extraction.

The system follows a microservice-oriented architecture and is fully Dockerized for consistent deployment.

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Key Features

• End-to-End Encrypted Messaging
• Real-time Communication using WebSockets
• AI-powered microservices:
  • Translation
  • Chat Summarization
  • Toxicity Detection
  • Smart Reply Suggestions
  • Deadline Extraction
• Modular microservice-based architecture
• Dockerized backend, frontend, and AI services
• Optimized for LAN deployment

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Technology Stack

Backend

• Java 17
• Spring Boot
• WebSockets
• PostgreSQL
• Flyway

Frontend

• React (Vite)
• Tailwind CSS

AI Microservices

• Python
• FastAPI
• Transformer-based NLP models

DevOps

• Docker
• Docker Compose

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Prerequisites

Ensure the following are installed on your system:

• Docker
• Docker Compose
• Git
• Linux, macOS, or WSL environment

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Build and Setup Instructions

All commands must be executed from the project root directory.

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Step 1: Build Base AI Image

docker build --no-cache -f Dockerfile.base -t ai-base:latest .
Step 2: Build AI Microservices
bash
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# Translation Service
docker build --no-cache -t translation-service:latest ./translation_service

# Summarizer Service
docker build --no-cache -t summarizer-service:latest ./summarizer_service

# Toxicity Service
docker build --no-cache -t toxicity-service:latest ./toxicity_service

# Smart Reply Service
docker build --no-cache -t smart-reply-service:latest ./smart_reply_service

# Deadline Service
docker build --no-cache -t deadline-service:latest ./deadline_service
Step 3: Build Backend and Frontend
bash
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docker compose build backend frontend
Running the Application
From the project root directory, execute:

bash
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./Echo_Begins
This script initializes and launches all required services.

Project Structure Overview
csharp
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Echo/
├── backend/
├── frontend/
├── translation_service/
├── summarizer_service/
├── toxicity_service/
├── smart_reply_service/
├── deadline_service/
├── Dockerfile.base
├── docker-compose.yml
└── Echo_Begins
Important Notes
Ensure the startup script has executable permissions:

bash
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chmod +x Echo_Begins
Initial builds may take longer due to AI model dependencies.

Rebuild Docker images after modifying any AI service code.

License
This project is developed for academic and research purposes.