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raaj2493/TrustGuard

TrustGuard 是一個由 🤖 AI 驅動的後端 API,使用 ⚡ Go 建構,可即時分析與分類使用者產生的文字內容中的 🚫 惡意、 📩 垃圾訊息以及 🔍 可信度。它幫助開發者輕鬆建構 🔐 更安全、更智慧、更可靠的應用程式。

TrustGuard 專案封面
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2026年4月9日
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Raaj Giri ↗

🚀 Obsessed with mastering Software Engineering • Backend • AI • Scalable Systems

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原始 README

以下為英文專案原文快照,最新內容請造訪 GitHub。

展開 / 收合專案 README

🛡️ TrustGuard --- AI-Powered Content Safety & Trust Analysis API

🤖 Analyze user-generated content in real-time for toxicity, spam, and trustworthiness using AI.


🚀 Overview

TrustGuard is a high-performance backend API built with ⚡ Go (Golang) that leverages AI to evaluate the safety and reliability of text.

It helps developers build 🔐 secure and trustworthy platforms by detecting:

  • 🚫 Toxic content\
  • 📩 Spam messages\
  • ⚠️ Harmful or suspicious text\
  • 🔍 Trustworthiness score

Perfect for 💬 chat apps, 🌐 social media platforms, 📝 review systems, and more.


✨ Features

  • ⚡ Fast and lightweight REST API (Go + Gin)
  • 🧠 AI-powered text analysis
  • 🚫 Toxicity detection
  • 📩 Spam classification
  • 🔍 Trust scoring system
  • 📊 Clean JSON responses
  • 🔐 Secure .env configuration
  • 🧩 Scalable project architecture
  • 🔄 Easy frontend integration

🏗️ Tech Stack

Layer Technology


Backend Go (Golang) Framework Gin AI Service Google Gemini API Config godotenv (.env) Testing Thunder Client/Postman


📁 Project Structure

TrustGuard/ ├── backend/ │ ├── controllers/ │ ├── routes/ │ ├── services/ │ ├── config/ │ ├── models/ │ ├── utils/ │ ├── main.go │ └── go.mod ├── frontend/ ├── .env └── README.md


⚙️ Prerequisites

  • 🐹 Go (v1.20+)
  • 🔑 Gemini API Key
  • 📦 Git

🔑 Environment Setup

Create a .env file:

GEMINI_API_KEY=your_api_key_here
PORT=8080


🚀 Installation

git clone https://github.com/raajgiri/TrustGuard.git
cd trustguard/backend
go mod tidy
go run main.go


📡 API

POST /analyze

Request: { "text": "Hello world" }

Response: { "status": "success", "analysis": { "toxicity": "low", "spam": false, "trust_score": 0.87 } }


⭐ Support

Give a ⭐ if you like the project!


📜 License

MIT License