NextGen GPT AI Hackathon

Hackathon Kick-Off and lablab.ai introduction

Dive into the world of our platform with Nicholas Speece as your guide. This session is designed for newcomers, providing a comprehensive introduction right from account creation. Discover the essential features and get a quick, insightful tour to kick-start your journey on the platform.

A Tour of the Clarifai Platform with Nicholas Speece

Hackathon Guide and lablab.ai Platform Walk-through

Join Adam Kamor, co-founder of Tonic AI, as he delves into the world of synthetic data generation. Discover how Tonic AI's innovative approach to creating fake data can revolutionize the way you train models for your hackathon projects, ensuring both efficiency and compliance. 

Utilizing Tonic AI's Fake Data for Hackathon Success

Join Sanwal Yousaf from Clarifai for a dynamic showcase of Clarifai's latest AI models, including GPT-4 Turbo, GPT-4V, and DALL-E 3. Discover innovative workflows for cross-modal applications and delve into the potential of these next-generation models for your projects.

Exploring Next-Gen AI with Clarifai: A Multimodal Model Showcase

Explore GPT-4's vision capabilities with Sumanth, a Machine Learning Developer Advocate at Clarifai. Learn to integrate advanced AI into apps using UI modules in this concise, hands-on session.

Building GPT-4 Vision Apps with Clarifai

General Q&A session on Discord

Join up for additional technical workshop for the hackathon participants! Sumanth will intro you to RAG extending your product's capabilities. 

Unveiling the Power of RAG: A Technical Workshop by Clarifai

lablab.ai community mentor and content creator, Sanchay, prepared for you the detailed tutorial for hackers of the levels! Check it out on the stream, and read the tutorial on lablab.ai tutorials page!

The Art of Intelligent Browsing: Mastering Selenium with GPT Vision API

Submission Deadline

Focused on enhancing the small, everyday moments leveraging advanced AI technology.

Fur Stack Developers

GregorGolen

Good Boy Recognizer is an AI application designed to comfort dogs when they're left at home. In today's world, as many of us return to office work, our furry friends often stay home alone, feeling sad and anxious. This situation not only affects our pets but also worries us as pet owners.

App uses a camera to detect when your dog enters the view. It then plays calming, reassuring statements recorded by you, the pet's owner. This reduces your dog's anxiety while you're away and gives you peace of mind during your work hours.
It takes picture of given area, sends it to Clarifai general image recognition model, we get a predicted concepts as a response and this response is then sent to via Clarifai API to gpt-4-turbo model to get a response particularly in JSON format
I think the impact of this app is huge because there are millions of dog owners worldwide, our app has the potential to significantly improve the life quality of a large number of pets and their owners. It promotes responsible pet ownership, reduces separation anxiety in pets, improves their well-being, and even has the potential to reduce home damage caused by anxious behaviors. 
The app’ principle is simplicity, using existing solutions from Clarifai, it was for me really super easy and quick to develop. And I thin that is also the value of this stack – ability to create real and working things. In the future, we plan to enhance its capabilities to recognize a dog's mood for more varied interactions. 


An AI application for comforting dogs left at home. The Good Boy Recognizer App uses a camera to detect when your dog enters the view. It then plays reassuring statements recorded by dog's owner. This reduces dog's anxiety while he is alone. 

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"Fur Stack Developers team on NextGen GPT AI Hackathon Hackathon"

Team Idea

Submission