FailSense - AI-Powered Error Debugging Assistant

An intelligent tool that analyzes error logs and provides ranked solutions using AI.

Features

• AI-powered error analysis (Groq Llama 3.3)
• Ranked solutions with confidence scores
• Tag and organize analyses
• Export reports (Markdown/Text)
• Search and filter history
• Solution tracking (mark what worked)

Tech Stack

• Backend: FastAPI, Python, Groq AI
• Frontend: React, TypeScript, Vite, Tailwind CSS

Local Development

Backend

cd backend
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
$env:HTTP_PROXY=""; $env:HTTPS_PROXY=""; python main.py

Frontend

cd Fail_Sense_UI
npm install
npm run dev

Environment Variables

Backend (.env):

GROQ_API_KEY=your_key_here

Frontend (.env):

VITE_API_URL=http://localhost:8000

Deployment

• Backend: Railway
• Frontend: Vercel

License

MIT