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

Tech for Societal & Environmental Well-being

ReefMate

RehanAhmed

ReefVision Insight is Streamlit app designed to revolutionize marine exploration. The first function employs advanced image enhancement techniques, making previously blurry underwater images clear and suitable for in-depth marine studies and oceanic research. The second function involves predicting the health condition of coral reefs. This is achieved through a two-step process - a coral classifier determines whether a coral is healthy or not, and the GPT-4 Vision model then provides a detailed output based on the classifier's results and the original image. ReefVision is a comprehensive tool for researchers and enthusiasts passionate about understanding and preserving marine ecosystems.

This Streamlit app employs advanced image processing to enhance blurry underwater images for precise marine studies. Additionally, it predicts coral reef health by combining a classifier for identifying healthy/unhealthy corals with GPT-4 Vision

"ReefMate team on NextGen GPT AI Hackathon Hackathon"

Team Idea

Submission