https://github.com/ntthanh2603/snet-backend
🚀 Project: Social Network 🌐 Tech Stack: NestJS 🏗, FastAPI ⚡, PostgreSQL 🛢, MongoDB 🍃, Elasticsearch 🔎, Redis 🔥, BullMQ 📨, Mailer ✉️, Faiss 🧠, Yolo 🎯
https://github.com/ntthanh2603/snet-backend
elasticsearch faiss fastapi nestjs-backend nextjs postgresql-database redis-cache social-network yolo
Last synced: 3 months ago
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🚀 Project: Social Network 🌐 Tech Stack: NestJS 🏗, FastAPI ⚡, PostgreSQL 🛢, MongoDB 🍃, Elasticsearch 🔎, Redis 🔥, BullMQ 📨, Mailer ✉️, Faiss 🧠, Yolo 🎯
- Host: GitHub
- URL: https://github.com/ntthanh2603/snet-backend
- Owner: ntthanh2603
- Created: 2025-02-10T13:06:23.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-03-16T03:38:55.000Z (7 months ago)
- Last Synced: 2025-03-16T04:20:54.500Z (7 months ago)
- Topics: elasticsearch, faiss, fastapi, nestjs-backend, nextjs, postgresql-database, redis-cache, social-network, yolo
- Language: TypeScript
- Homepage:
- Size: 1.85 MB
- Stars: 4
- Watchers: 1
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# SNet - Modern Social Network Platform
## 🚀 Overview
SNet is a powerful social networking platform built on modern technologies. The project leverages NestJS as its primary framework for building a scalable and efficient backend, with FastAPI serving as a secondary framework for AI-powered features and API processing.
## 🔧 Tech Stack
### Core Technologies
- **[NestJS](https://nestjs.com/)**: Primary backend framework
- **[FastAPI](https://fastapi.tiangolo.com/)**: Secondary framework for AI models and API processing
- **[PostgreSQL](https://www.postgresql.org/)**: Main database
- **[Redis](https://redis.io/)**: In-memory database for caching and real-time features
- **[BullMQ](https://docs.bullmq.io/)**: Queue system for background job processing
- **[Elasticsearch](https://www.elastic.co/)**: Search engine for content indexing
- **[FAISS](https://github.com/facebookresearch/faiss)**: Vector similarity search for AI features
## 🗂️ Project Structure
```
├── src/ # Backend system
├── model-ai/ # Models AI use FastAPI, Huggingface, Faiss...
├── docs/ # Documents for project and images for README.md
├── public/ # Data images/videos of app
├── test/ # Files test app
├── docker-compose.yaml # Manager containers
├── README.md # Project documentation (this file)
└── .gitignore # Block files when push github
```
#### Model detect image 16+ [**click here**](https://github.com/ntthanh2603/ImageGuard.git)
#### Model AI segmentation analysis [**click here**](https://github.com/ntthanh2603/segmentation-analysis.git)
#### Database [**click here**](https://drive.google.com/file/d/1ZPQa1NhCKHPOJKAGEMPWNWbutVYLUWsU/view?usp=sharing)
## ⚙️ Installation and Setup
### Using Docker (Recommended)
```bash
# Create and run all services
docker-compose up
# To shut down and remove volumes
docker-compose down -v
```
### Manual Setup
```bash
# Install dependencies
npm install --legacy-peer-deps
# Development mode with hot-reload
npm run dev
```
## 🔄 Architecture
SNet follows a microservices architecture:
1. **NestJS Backend**: Handles core application logic, authentication, and main API endpoints
2. **FastAPI Services**: Process AI-related tasks and specialized API endpoints
3. **Database Layer**: PostgreSQL for persistent storage, Redis for caching
4. **Search Services**: Elasticsearch for content search, FAISS for AI vector similarity search
5. **Background Processing**: BullMQ for handling asynchronous tasks
## 🤝 Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
## 💬 Support
If you encounter any issues or need support, please reach out:
- [Facebook](https://www.facebook.com/ntthanh2603)
## 📜 License
SNet is [MIT licensed](LICENSE).
