raaj2493/TrustGuard

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

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

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🚀 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.

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✨ 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

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🏗️ Tech Stack

Layer Technology

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

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📁 Project Structure

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

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⚙️ Prerequisites

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

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🔑 Environment Setup

Create a .env file:

GEMINI_API_KEY=your_api_key_here
PORT=8080

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🚀 Installation

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

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📡 API

POST /analyze

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

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

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⭐ Support

Give a ⭐ if you like the project!

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📜 License

MIT License