🔍 Log Analyzer — AI-Powered Developer Debugging Tool

Stop googling your errors. Just paste them.

🌐 Live Demo 🐛 Report Bug 💡 Request Feature

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📸 Screenshots

Landing Page

AI Analysis Result

Stack Trace Visualizer

Analytics Dashboard

Log Timeline View

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🎯 The Problem

Every developer faces this daily:

• You get a cryptic error or stack trace
• You spend 30 minutes googling what it means
• You're not even sure where to start fixing it

Log Analyzer solves this in seconds.

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✨ Features

🧠 AI Analysis Engine

• Plain English explanation — understands what your error actually means
• Root cause detection — finds what actually triggered the issue
• Step-by-step fix suggestions — numbered, actionable solutions
• Fix code snippets — real code to solve the issue
• Confidence score — how confident the AI is in the fix
• Auto platform detection — Python, Node.js, Java, Docker, Kubernetes, and more

📥 Multiple Input Methods

• Paste raw logs directly with syntax highlighting
• Upload .log, .txt, .json, .csv files
• Drag & drop file upload
• Screenshot upload (OCR support)

📊 Stack Trace Visualizer

• Converts messy stack traces into interactive flowcharts
• Shows file → function → line number chain
• Highlights exactly where it broke in red
• Built with React Flow

📅 Log Timeline View

• Extracts timestamps automatically from any log format
• Visualizes events on a color-coded vertical timeline
• Supports Python, Node.js, Java, and custom log formats

💬 Chat With Your Logs

• Ask follow-up questions after analysis
• Context-aware — AI remembers your log
• Suggested quick questions for faster debugging

📁 History & Organization

• All analyses saved to your account
• Search by keyword, platform, or error type
• Filter by severity and platform
• Revisit any past analysis instantly

📈 Analytics Dashboard

• Total logs analyzed
• Severity breakdown (pie chart)
• Most common error types (bar chart)
• Activity over last 7 days (line graph)
• Top platforms (horizontal bar chart)

🔁 Pattern Detection

• Detects recurring errors across your history
• Warning banner when same error appears multiple times
• Groups similar errors automatically

🔐 Authentication

• Google OAuth & GitHub OAuth
• Secure session management
• Personal data isolated per user

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🛠️ Tech Stack

Frontend

Technology	Purpose
React 19 + Vite	UI framework
Tailwind CSS	Styling
Shadcn/UI	Component library
React Router v6	Navigation
React Flow	Stack trace visualization
Recharts	Analytics charts
Axios	API calls
Clerk	Authentication

Backend

Technology	Purpose
FastAPI	REST API framework
SQLAlchemy	ORM
PostgreSQL (Supabase)	Database
Groq API (LLaMA 3.3 70B)	AI analysis engine
Pydantic	Data validation
Uvicorn	ASGI server

DevOps

Technology	Purpose
Docker + Docker Compose	Containerization
Vercel	Frontend deployment
Railway	Backend deployment
GitHub	Version control

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🚀 Getting Started

Prerequisites

• Node.js 18+
• Python 3.11+
• Docker (optional)
• Git

Option 1 — Run with Docker (Recommended)

# Clone the repository
git clone https://github.com/anushkakedari/log-analyzer.git
cd log-analyzer

# Add environment variables
# Create backend/.env with your keys (see Environment Variables section)

# Run everything with one command
docker-compose up --build

Open http://localhost:5173 🎉

Option 2 — Run Manually

Backend:

cd backend
python -m venv venv
venv\Scripts\activate      # Windows
source venv/bin/activate   # Mac/Linux
pip install -r requirements.txt
uvicorn main:app --reload

Frontend:

cd frontend
npm install
npm run dev

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🔑 Environment Variables

Backend (backend/.env)

DATABASE_URL=your_supabase_postgresql_url
GROQ_API_KEY=your_groq_api_key

Frontend (frontend/.env)

VITE_CLERK_PUBLISHABLE_KEY=your_clerk_publishable_key
VITE_API_URL=http://localhost:8000

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📁 Project Structure

🌐 API Endpoints

Method	Endpoint	Description
POST	/api/analyze	Analyze a log with AI
POST	/api/chat	Chat about a log
GET	/api/history/{user_id}	Get user's history
DELETE	/api/history/{log_id}	Delete a history item
GET	/api/analytics/{user_id}	Get analytics data
GET	/api/patterns/{user_id}	Get recurring patterns

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🤝 Why Log Analyzer vs Just Using ChatGPT?

Feature	Log Analyzer	ChatGPT/Gemini
File upload support	✅	❌
Structured output	✅ Always	❌ Inconsistent
History saved	✅	❌
Pattern detection	✅	❌
Analytics dashboard	✅	❌
Stack trace visualization	✅	❌
Built for developers	✅	❌ General purpose

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👩‍💻 Author

Anushka Kedari

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