Full-stack web application where users can guess whether images are generated by a human or by artificial intelligence. This app aims to develop a database to better categorize AI-generated content for customers.
Full-stack web application where users can guess whether images are generated by a human or by artificial intelligence. This app aims to develop a database to better categorize AI-generated content for customers.
Technologies Used
Key Features
- Authentication system to register, sign in, and sign out
- Categorized lists of human-made and AI-generated images
- Vote functionality allowing users to vote 'human' or 'AI' on each image
- Responsive 'results' feature updating immediately after a user votes
Purpose and Goal
To create an engaging platform where users can interactively guess the origin of images, enhancing understanding of AI capabilities in image generation.
Role
Sole developer
Technical Challenges & Solutions
Challenge 1:
Integrating AWS S3 for efficient image storage and retrieval
Solution:
Implemented AWS S3 for scalable and secure image storage
Challenge 2:
Ensuring secure and seamless user authentication using Passport
Solution:
Utilized Passport to manage user authentication and session management
Challenge 3:
Real-time update of results after voting
Solution:
Used React state management and server-side logic to update results dynamically