The monday.com AI app hackathon

Join our live stream on Twitch to get all the information you need about monday.com platform to get started with the Hackathon

Monday.com Platform Overview

Join us on Voice Channel on Discord to ask any Hackathon-related questions you may have

Mentors Session #1

Mentors Session #2

Join us at the Voice Channel on Discord to ask any Hackathon-related questions you may have

Mentors Session #3

Welcome to Opening Stream for The monday.com AI app Hackathon! Join us for opening Talks and Hackathon Guide.

Hackathon Kick-Off

How to succeed in the monday app marketplace

Join us for Tech Tutorials on the usage of Large Language Models by Luis Serrano

Guide into Large Language Models by Cohere

4-min guide on the usage of the Stability AI models for your monday.com AI app

Getting Started with Stable Diffusion

Submission Deadline

Byte me

NeonWisp

Khushijain_27

Aditya Singh

Gaurav Singh

The project aims to create a web application that allows users to perform text-to-image conversions using the Stable Diffusion Model.

Key Components:

Frontend (React): The frontend of the application is developed using React, a popular JavaScript library for building user interfaces. It includes a form where users can enter the required parameters for text-to-image conversion, such as the prompt, number of images, negative prompt. Upon submission of the form, an API request is made to the backend to perform the conversion.

Backend API (Django): The backend of the application is built using Django, a high-level Python web framework. It provides the necessary endpoints for text-to-image and image-to-image conversions. The API endpoints receive the parameters from the frontend, communicate with the Stable Diffusion Models API, and return the results back to the frontend.

Stable Diffusion Models API: The application integrates with the Stable Diffusion Models API, which provides the text-to-image and image-to-image conversion functionalities. The API utilizes the Stable Diffusion pipeline and other related models to generate images based on the provided prompts and parameters.

Communication (Axios): To facilitate communication between the frontend and backend, the application utilizes the Axios library. Axios is a popular JavaScript library for making HTTP requests, and it allows the frontend to send API requests to the backend endpoints and handle the responses.



State of the art AI model for generating photorealistic image from a simple text prompt.

"Byte me team on The monday.com AI app hackathon Hackathon"

Team Idea

Submission