Inspiration: We find it difficult to consistently get memes that are relevant to real-life situations.
What it does: We input text, and the system finds memes that are closely related to the given text.
How we built it: Using Python and its libraries such as torch and transformers.
Challenges we ran into: We faced difficulties in building both the frontend and backend. Hosting the Python code as a backend was challenging, so we couldn’t complete that task.
Accomplishments that we're proud of: We managed to create a foundational code that retrieves memes based on input text.
What we learned: We learned how to use Python and its various libraries for machine learning and text processing.
What's next for Meme Gen AI: We will soon work on integrating the frontend and hosting the Python code as a backend.
Built With
- python
- torch
- transformers
Log in or sign up for Devpost to join the conversation.