memer.ai

Proposed Architecture
Proposed UI

Inspiration

We are inspired by how any content can become viral because of its memeability. Memes have a unique way of connecting with people and spreading across platforms, which can prove useful to any ad campaign for content creators or businesses.

What it does

Memer.ai generates memeable content for your projects. It helps users create engaging and sharable visuals by leveraging the power of AI.

How we built it

We built Memer.ai using Adobe Express and integrated React for the mini app's frontend. For generating images based on text prompts, we utilized Stable Diffusion's text-to-image (text2img) API.

Challenges we ran into

One of the biggest challenges was finding a text-to-image API that worked effectively for our needs. We had to experiment with various models and APIs to find one that worked well for us.

Accomplishments that we're proud of

Building a tool that allows users to quickly create fun, memeable content for their projects.

What we learned

Through this project, we learned a lot about working with image generation models, integrating them with front-end applications.

What's next for memer.ai

Our next step is to complete the trend analyzer feature of the mini app. We plan to build a backend that scrapes data from platforms like TikTok, LinkedIn, and Instagram which would be fed through a model to display trending topics and other relevant data. Users will be able to select a trending topic and generate relevant memeable content around it, further enhancing the virality potential of their projects.