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

DesiSuper

Saurabh Jadhav

"AI ActiveLife" is an innovative and comprehensive health and fitness application, meticulously crafted using Streamlit, to deliver a highly personalized wellness experience to its users. This application stands as a testament to the harmonious integration of user-friendly technology and personalized health care.

At its core, "AI ActiveLife" is designed to empower users in their fitness journeys by providing customized exercise and diet plans. The application's sophisticated algorithm takes into account a variety of user inputs, such as height, weight, age, preferred food styles, and specific health goals. Whether a user aims to lose weight, gain muscle, improve fitness, or simply maintain a healthy lifestyle, the app tailors its recommendations accordingly.

One of the key features of "AI ActiveLife" is its intuitive user interface. The app is divided into two main sections: Input Mode and Result Mode. In Input Mode, users are prompted to enter their physical and dietary preferences. This data is then used to calculate the user's Body Mass Index (BMI) and to generate a personalized exercise routine. The exercise module considers not only the user's BMI but also their gender and health goals, ensuring that the recommended routines are safe, effective, and enjoyable.

In the Result Mode, users are presented with the outcome of their inputs - a detailed and personalized exercise routine, alongside a tailored diet plan. These routines are not just generic templates; they are carefully curated based on the latest health and fitness research and are generated using external API integrations, providing a level of customization that is rare in generic fitness apps.

The application also boasts a feature for generating PDF versions of both the exercise and diet plans, allowing users to easily download, print, and refer to their routines offline. This is particularly useful for those who prefer having a physical copy of their fitness regime for daily reference.




"AI ActiveLife" is a Streamlit app offering customized exercise and diet plans based on user data. It features intuitive input, tailored routines via API integration, PDF generation, and a sidebar for quick access and downloads.

"DesiSuper team on NextGen GPT AI Hackathon Hackathon"

Team Idea

Submission