🧠 NeuroGuard – Intelligent Facial Management System

NeuroGuard is an intelligent facial attendance and management system built using Python and Flask, with integrated facial recognition. It allows secure and automated attendance marking using real-time face data. The system uses OpenCV and face recognition models to detect and verify faces and record attendance in a database.

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🚀 Features

• 📷 Real-time face capture for attendance
• 🧑‍💼 Admin panel with dashboard
• 📝 Attendance database with timestamp logging
• 🔐 Secure face registration with name labeling
• 🧠 Uses pre-trained face embeddings (.pkl)
• ☁️ Lightweight and fully local (can be deployed to the cloud)

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🌐 Live Demo

🌐 Coming Soon (You can deploy it using Microsoft Azure, Render, or PythonAnywhere)

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🛠️ Tech Stack

Layer	Technology
Frontend	HTML, CSS
Backend	Python, Flask
Database	SQLite
AI/ML	OpenCV, face_recognition, NumPy
Packaging	Pickle (.pkl) for embeddings

✅ Setup Instructions

🔧 1. Clone the Repository

git clone https://github.com/Pruthviraj404/NeuroGuard.git
cd NeuroGuard

2. Create Virtual Environment and Install Dependencies

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python -m venv venv
source venv/bin/activate        # On Windows: venv\Scripts\activate
pip install -r requirements.txt

3 Run the Application

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python app.py
Visit your app at: http://127.0.0.1:8080