Marija Zhivkovikj@avocados007

The idea behind this project is to generate recipes from ingredients to avoid wastage of the Food. A great and easier look through to understand the app better just refer to the presentation. In the workflow plan we have two categories to understand. The very first one is "Data". In here the app first scrape about 100 recipes. For each recipe, it gets the list of ingredients as list without quantities. Then it cluster(/embed) ingredients lists and make categories based on embedding clusters. For the second part we have "Usage" where we first take as user input list of ingredients and classify ingredients list according to closest cluster. Then we build prompt from cluster and ingredients list. For the Uses and Scope : (1) It is a resourceful app that can contribute to Sustainable development. (2) Can be a time saver for people who loves to create new recipes especially chefs. (3) Can come out as a treasure for travellers who love to try new cuisines and recipes. (4) Can also become a great online platform for foodies and help them in becoming pro chef who can cook different cuisines.

The app designed by team innovators is a wildfire detector and risk analysis. This project has two branches in which the first one is wildfire detector which is build using deep learning model. The detector asks for a forest image and predicts if there is fire or no fire in the image. The second branch is of risk analysis which is build using a machine learning model. In here we are predicting the next day wildfire spread. This app can be a great asset for researchers and climate change organizations to be prepared to fight the wild fires. Most of the description is provided in the presentation and the github repository. For demo of the project look into the repository on github we have added the demo links in the read.me. That's all! Thankyou!

It is our pleasure to welcome you to the third Cohere AI Hackathon! Our collaboration with Cohere gives lablab.ai community members access to one of the most powerful artificial intelligence language models available. Let's build a better future together! Join us and innovate!

It is our pleasure to welcome you to the Wolves Summit AI Hackathon. In partnership with Wolves Summit, we are giving the lablab.ai community an opportunity to develop an application to fight for a great cause - Saving Planet Earth. This is a preliminary event of the Wolves Summit conference that will take place in Vienna, Austria on 20-21 October 2022. Current world events show us that actions towards environmental safety are necessary. Do you have what it takes to protect the planet using Artificial Intelligence? Join us and innovate to build a better future for everyone!

A new text-to-image model called Stable Diffusion is set to change the game once again ⚡️. Stable Diffusion is a latent diffusion model that is capable of generating detailed images from text descriptions. It can also be used for tasks such as inpainting, outpainting, and image-to-image translations. Join us for a epic stable diffusion makers event 11-13 November 👊