🤖 LLM Code Review Assistant

An AI-powered code review assistant built using FastAPI, Ollama, and Qwen 3B.

The application analyzes source code and provides:

• Code Summary
• Issues Found
• Security Concerns
• Improvement Suggestions
• Downloadable Review Reports

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🚀 Features

• AI-powered code review using Qwen 3B
• FastAPI backend
• REST API integration
• Modern dark-themed frontend
• Automatic issue detection
• Security recommendations
• Downloadable review reports
• Local LLM execution using Ollama

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🛠 Tech Stack

Backend

• Python
• FastAPI
• Uvicorn
• Requests

AI Model

• Ollama
• Qwen3:8B

Frontend

• HTML
• CSS
• JavaScript

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📂 Project Structure

LLM-code-review-assistant/
│
├── backend/
│   ├── app.py
│   └── reviewer.py
│
├── frontend/
│   ├── index.html
│   ├── style.css
│   └── script.js
│
├── screenshots/
│   ├── ui-dashboard.png
│  
│
├── reports/
│
├── README.md
└── .gitignore

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⚙️ Installation

Clone Repository

git clone https://github.com/pavan19-06/LLM-code-review-assistant.git
cd LLM-code-review-assistant

Install Dependencies

pip install fastapi uvicorn requests

Install Ollama

Download and install Ollama:

https://ollama.com

Pull Qwen Model:

ollama pull qwen3:8b

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▶️ Run Backend

cd backend
uvicorn app:app --reload

Backend runs at:

http://127.0.0.1:8000

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🌐 Run Frontend

Open:

frontend/index.html

in your browser.

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📸 Screenshots

Home Interface

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📝 Example Workflow

1. Paste source code into the input area
2. Click Review Code
3. Code is sent to FastAPI backend
4. Ollama analyzes the code using Qwen
5. Review is displayed on screen
6. Download report if needed

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🎯 Future Improvements

• Multiple language support
• Syntax highlighting
• Authentication system
• Streamlit deployment
• Docker support
• Cloud-hosted inference

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👨‍💻 Author

Pavan R

B.Tech AIML Student

Built as a hands-on AI + FastAPI + Ollama project to learn local LLM integration and software engineering workflows.

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⭐ If you like this project

Give the repository a star on GitHub ⭐