SiteChecker — AI-Powered Website Health Monitor

SiteChecker is an intelligent automation system that continuously monitors website health by combining web scraping, AI-powered issue analysis, and automated workflow triggers. It runs on scheduled 2-hour cycles, detects anomalies autonomously using LangChain, and automatically creates GitHub issues when problems are found — eliminating the need for manual monitoring.

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🛠 Tech Stack

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⚙️ Features

• Automated web scraping on 2-hour scheduled cycles
• AI-powered issue detection using LangChain
• FastAPI backend for data ingestion and processing
• SQLite database for persistent storage
• Streamlit dashboard for real-time visualisation
• GitHub API integration for automated issue creation

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🚀 How to Run Locally

1. Clone the repo

git clone https://github.com/MuteebHashmi/SiteChecker.git
cd SiteChecker

2. Install dependencies

pip install -r requirements.txt

3. Set up environment variables Create a .env file in the root directory:

OPENAI_API_KEY=your_openai_key
GITHUB_TOKEN=your_github_token
GITHUB_REPO=your_username/your_repo

4. Run the FastAPI backend

uvicorn main:app --reload

5. Run the Streamlit dashboard

streamlit run dashboard.py

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📁 Project Structure

SiteChecker/
├── main.py          # FastAPI backend
├── scraper.py       # Web scraping logic
├── analyzer.py      # LangChain AI analysis
├── dashboard.py     # Streamlit dashboard
├── database.py      # SQLite database handler
├── requirements.txt
└── .env.example

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📫 Contact