Avinash Dubey@Tantrick

GreenSage – A VS Code Extension for Sustainable Code Suggestions GreenSage is an intelligent Visual Studio Code extension designed to help developers write environmentally sustainable and energy-efficient code. Built on the principles of the Green Software Foundation, GreenSage integrates with the OpenAI API to analyze selected portions of code and provide intelligent suggestions for improvement. Developers can simply highlight any code snippet and click a dedicated button in the editor toolbar to receive suggestions in a side panel. These suggestions include the original code, a more sustainable version, and a detailed reason for the change. Users can also choose to automatically replace the selected code with the optimized version. GreenSage empowers developers to write better, greener software while learning sustainable practices along the way — making it both an educational and practical tool in modern development workflows.

For startups and new businesses, it's hard to get budget, manpower and time to put on resume sorting kind of works. When large number of applicants apply for a job role then it's really difficult to choose the best ones by going through each resume. Our product "Profile Picker" provides businesses ability to sort best resumes based on the job description. Our ML model understands the meaning of the words that are in the resumes and in the job descriptions and it also gives multilingual support which means job description and resumes can be written in different languages.

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!

Join us for a hackathon where we will be using OpenAI Whisper to create innovative solutions! Whisper is a neural net that has been trained to approach human level robustness and accuracy for English speech recognition. We will be using this tool to create applications that can transcribe in multiple languages, as well as translate from those languages into English. This will be a great opportunity for you to learn more about speech processing and to create some useful applications!