🤖 Dev Secure - AI-Powered Code Security Analyzer

Dev Secure is an AI-powered tool that detects vulnerabilities in code and rates them as high, low, or average. Leveraging the Ollama Mistral model running locally, it provides a chat-like interface for analyzing code security issues in real-time.

📸 Preview

SignUp Page

LogIn Page

Home Page

ChatBot UI

✨ Features

• Real-time vulnerability analysis: Users can input code and receive instant feedback on its security.
• AI-powered vulnerability detection: The chatbot leverages the Ollama Mistral LLM for detecting and assessing code vulnerabilities.
• Conversational AI: Engage in natural, interactive conversations about code security.
• Responsive and clean UI: The user interface adapts to various screen sizes, providing a visually appealing and intuitive experience.
• Authentication: Users can sign up and log in via Firebase for personalized sessions.
• Firebase integration: Firebase handles secure user authentication and real-time data management.

🤖 Technologies Used

Dev Secure is built using the following technologies:

• React.js: A JavaScript library for building user interfaces.
• CSS Modules: Locally scoped CSS for styling React components.
• Ollama Mistral LLM: A locally running language model that detects code vulnerabilities.
• Node.js: JavaScript runtime environment for server-side operations.
• Flask: A web application framework for Python, managing API routes and requests.
• React Router: For handling routing within the React application.
• Axios: A promise-based HTTP client for making API requests from the frontend.
• Firebase: For authentication, hosting, and real-time data storage.
• dotenv: For loading environment variables from a .env file.
• CORS: To handle cross-origin requests in web browsers.
• Nodemon: Automatically restarts the server when code changes.

✨ Prerequisites

Before getting started, ensure you have the following prerequisites installed:

• Node.js: Download and install Node.js from the official website.
• Firebase account: Create a Firebase account and set up a new project.
• Ollama Mistral LLM: Ensure the model is running locally for real-time analysis.

💻 Getting Started

To run Dev Secure locally, follow these steps:

1. Clone the repository
2. Navigate to the project directory
3. Install the dependencies
4. Start the frontend server

   cd frontend
   npm start

5. Start the backend server:

   cd backend
   npm start