title	emoji	colorFrom	colorTo	sdk	sdk_version	app_file	license
SecuraMind	🛡️	gray	blue	gradio	5.34.2	ui/app.py	apache-2.0

🔐 SecuraMind — AI-Powered Secure Code Assistant

SecuraMind is a secure coding assistant that helps developers identify and fix code vulnerabilities using powerful LLMs. Designed for performance, scalability, and integration into CI pipelines, it empowers developers to write secure code — fast.

🧠 Powered by LLM inference via Modal Labs
🛡️ Use Cases: Code Fixing, Log Analysis, Threat Summaries, Developer Assistance

---

🔥 Key Features

Feature	Description
✅ LLM-Powered Fixes	Automatically detects and fixes insecure code via OpenAI/Claude
✅ Modal Integration	Serverless deployment of heavy LLM workloads with zero infra setup
✅ Fast, Secure Execution	Modal runs in containers — isolated, fast, and scalable
✅ CLI + API Support	Use from terminal, web app, or call via REST API
✅ Role-Based Workflow (planned)	Integrate different security roles in analysis pipeline

---

⚙️ Tech Stack

• Python 3.10+
• Modal Labs (LLM inference)
• OpenAI / Claude / Mistral API
• Gradio (for frontend interface)
• FastAPI (for public API layer)
• Tailwind UI (planned frontend styling)
• GitHub Actions (planned CI integration)

---

🧪 Quickstart (Using Modal)

1. Clone the Repo

git clone https://huggingface.co/spaces/Brahamanbtp/SecuraMind
cd SecuraMind

2. Install Requirements

pip install -r requirements.txt

3. Authenticate with Modal

modal token new

Follow the link shown in terminal to authenticate via browser.
💡 This stores your auth token locally so Modal functions can run.

---

🧠 Example: LLM-Based Code Fix (via Modal)

# fixer_modal.py
from modal import App, Image

image = Image.debian_slim().pip_install("requests")
app = App("securamind-fixer", image=image)

@app.function()
def fix_code_modal(code: str, issues: list):
    # Secure call to LLM (e.g., Mistral/OpenAI) with prompt formatting
    ...

Calling the Fixer Function

from agent.fixer import fix_code_modal
fixed = fix_code_modal.remote(code, issues)

---

🌐 Deploy Public API (Optional)

@app.function()
@asgi_app()
def web_api():
    from fastapi import FastAPI, Request
    app = FastAPI()

    @app.post("/fix")
    async def fix(request: Request):
        data = await request.json()
        result = fix_code_modal.remote(data["code"], data["issues"])
        return {"fixed_code": result}

modal deploy fixer_modal.py

Access it at:

https://<your-username>--securamind-fixer.modal.run/fix

---

🧰 Roadmap (Planned Features)

• 🔄 GitHub CI/CD Secure PRs
• 🧩 VSCode plugin for inline scans
• 📊 Dashboards for org-wide security posture
• 🔐 Role-based analyst workflows

---

💡 Why Modal?

Reason	Benefit
✅ Serverless LLMs	No GPU setup required
✅ Infinite scale	Handles high user load
✅ Secure containers	Runs in isolated environments
✅ Simple API design	Easy to test + deploy

---

🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss improvements or feature requests.

---

📄 License

This project is licensed under the Apache 2.0 License.

---

📬 Contact

• Author: Pranay Sharma
• Email: pranaysharma5626@gmail.com