AI Visual Doppelganger is a Flask-based web application tool designed to replicate images in a few minutes using AI. It employs genetic algorithms to evolve a population of binary individuals, gradually optimizing them to match the input image while introducing a camouflage pattern.
- Image replication using advanced AI algorithms.
- User-friendly interface for uploading images and viewing replicated images.
- FAQ section for common queries related to the project.
- Contact form for inquiries and feedback.
Live Demo: https://ai-visual-doppelganger.onrender.com/
Video Demo:
Click the image to watch demo video on YouTube.
- Python: Ensure Python is installed on your device.
- Flask: Install Flask by running
pip install Flask. - Clone the Repository: Clone the repository to your local machine by running
git clone https://github.com/your-username/AI-Visual-Doppelganger.git. - Dependencies: Install dependencies by running
pip install -r requirements.txt. - Static Files: Ensure that the static files (such as images, CSS, and JavaScript) are accessible and properly linked in the project directly.
- Run the Application: Once you have completed these steps, you can run the project on your devices by navigating to the project directory and running
python main.py.
- Upload an image: Click on the "Try" section, then upload an image.
- Start replication process: Click the "Replicate" button to start the process.
- View result: Once the process is complete, the original image and its replicated version will be displayed.
- Download the result: Click the "Download" button to save the replicated image to your device.
- Explore other sections: Check out the "About", "FAQ", and "Contact" sections for more information and options.
