FaceCheck.AI

FaceCheck.AI is a full-stack AI-powered application that detects whether a face is real or AI-generated using a custom-trained Convolutional Neural Network (CNN) model. It comes with a sleek modern UI built with Next.js and a backend API using FastAPI.

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🛠️ Tech Stack

Frontend

• Next.js 14 - React framework for production
• TailwindCSS - Utility-first CSS framework
• Vercel - Deployment platform for UI

Backend

• FastAPI - Modern, fast Python web framework
• Render - Cloud platform for API deployment
• REST API - Clean API architecture

ML/AI

• TensorFlow/Keras - Deep learning framework
• Custom CNN - Convolutional Neural Network architecture
• 180K+ face dataset - Comprehensive training data

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🚀 Features

• Upload or paste an image URL to classify faces as REAL or FAKE
• Custom-trained CNN model on 180,000+ face images
• Live probability confidence with detailed result breakdown
• Responsive and clean UI design using Tailwind CSS and Inter/Noto fonts
• Backend REST API using FastAPI deployed on Render with Docker
• Frontend deployed on Vercel
• Containerized deployment for consistent performance across environments

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🐳 Docker Deployment

The backend API is containerized using Docker for consistent deployment on Render.

Docker Configuration

# Dockerfile example structure
FROM python:3.11-slim

WORKDIR /app

COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

COPY . .

EXPOSE 8000

CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]

🧠 Model Performance

The custom-trained model demonstrates high accuracy and generalization performance.

📊 Evaluation Metrics

Test Accuracy: 0.9165

Classification Report:
              precision    recall  f1-score   support
        Real       0.92      0.90      0.91      8124
        Fake       0.91      0.93      0.92      9424
    accuracy                           0.92     17548
   macro avg       0.92      0.92      0.92     17548
weighted avg       0.92      0.92      0.92     17548

Accuracy & Loss Curves

Confusion Matrix

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🚀 Quick Start

Prerequisites

• Node.js 18+
• Python 3.8+
• Docker (for containerized deployment)
• npm or yarn

Frontend Setup

# Clone the repository
git clone https://github.com/Swastik-59/FaceCheck.AI.git
cd facecheck-ai

# Install dependencies
npm install

# Run development server
npm run dev

Backend Setup

Local Development

# Navigate to backend directory
cd backend

# Install Python dependencies
pip install -r requirements.txt

# Run FastAPI server
uvicorn main:app --reload

Docker Deployment

# Build Docker image
docker build -t facecheck-api .

# Run container
docker run -p 8000:8000 facecheck-api

# Or use docker-compose
docker-compose up --build

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Demo

FaceCheck.AI.mp4

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