About the project.
A smart web-based system that detects facial landmarks from uploaded images and intelligently classifies whether the face belongs to a real human or an AI-generated entity. Users can download both the dotted landmark image and a detailed PDF report. Built with advanced facial recognition and ML models.
Features
>Upload a photo and detect key facial points (eyes, nose, mouth, etc.) using precision ML models.
Automatically classify whether the detected face is a real human or AI-generated (deepfake, GAN, etc.).
Get the dotted landmark image and a PDF report containing detailed facial analysis.
Stream high-quality videos seamlessly. Enjoy smooth playback with adaptive streaming technology.
Discover new content with powerful search and recommendation algorithms. Find videos based on your interests and preferences.
Enjoy a seamless experience across devices with a responsive design that adapts to various screen sizes and orientations.
Crafted with SEO best practices, ensuring optimal visibility on search engines. From keyword-rich content to streamlined meta tags and efficient site architecture.
Features
>Tech Stack
/>
HTMLHyperText Markup Language for creating the structure of web pages.
CSSCascading Style Sheets for styling the presentation of HTML documents.
PythonPython is a powerful, high-level programming language known for its simplicity, readability, and vast ecosystem. Ideal for web development, data science, automation, and more.
FlaskFlask is a lightweight and flexible Python web framework designed for building simple to complex web applications with minimal overhead and maximum control.
DockerDocker is an open platform for building, shipping, and running applications in lightweight, portable containers, ensuring consistency across environments.