noopur17/log-analyzer repository overview

⁠🚀 AI Log Analyzer

⁠🧠 Overview

AI Log Analyzer is a lightweight, containerized API that helps developers and DevOps engineers analyze application logs in real-time.

It automatically detects errors, warnings, and patterns in logs, enabling faster debugging, better monitoring, and improved system reliability.

⁠✨ Key Features

• 🔍 Intelligent log parsing and classification
• ❗ Automatic detection of ERROR, WARNING, and INFO logs
• 📊 Summary statistics and structured insights
• ⚡ High-performance API using FastAPI
• 🐳 Fully Dockerized for easy deployment
• ☁️ Cloud-ready (AWS EC2 Free Tier compatible)
• 🔄 Supports continuous deployment workflows

⁠🏗️ Tech Stack

• ⚙️ Backend: FastAPI
• 🐍 Language: Python 3.11
• 🐳 Containerization: Docker
• ☁️ Deployment: AWS EC2
• 📡 API Docs: Swagger UI

⁠📦 Pull the Image

docker pull <your-docker-username>/ai-log-analyzer:latest

⁠▶️ Run the Container

docker run -d -p 8000:8000 --name log-analyzer <your-docker-username>/ai-log-analyzer

⁠🌐 Access the API

Local:

http://localhost:8000/docs

AWS EC2:

http://<EC2-PUBLIC-IP>:8000/docs

👉 Interactive Swagger UI will open

⁠🧪 API Example

⁠Endpoint

POST /analyze

⁠Request

{
  "logs": "[INFO] Service started\n[ERROR] Database failed\n[WARNING] Retry attempt"
}

⁠Response

{
  "summary": {
    "INFO": 1,
    "ERROR": 1,
    "WARNING": 1
  },
  "error_count": 1
}

⁠🛠️ Use Cases

• 🚨 Application debugging
• 📊 DevOps monitoring
• 🔁 CI/CD log analysis
• 🧩 Incident investigation
• 📡 System observability

⁠🧩 Architecture

User → FastAPI → Log Analyzer Engine → Response (JSON)
           ↓
        Docker Container
           ↓
        AWS EC2

⁠🚧 Future Enhancements

• 🤖 AI-based anomaly detection
• 📂 Log file upload support
• 📊 Visualization dashboard
• 🔔 Alerting & monitoring integration
• 📈 Real-time log streaming

Here’s your updated Author section — ready to copy-paste:

⁠👩‍💻 Author

Noopur Bhatt
Building Intelligent Systems 💡| Open Source Contributor 🌐| Trouble Maker Engineer 🚀

⁠📄 License

MIT License