Gemini AI Hackathon

Hackathon Kick-Off 

We'll onboard you in the Gemini AI technology, newly released by Deep Mind, with Fabian Stehle, Data Scientist at New Native.

Introduction to Gemini AI

Join for the tech session with Shayak Sen, CTO of TruEra. We'll dive deeper in integration of TruLense into Gemini AI-based application.  

Tech Workshop with TruEra

Join experts Shayak from TruEra and Jerry Liu from LlamaIndex as they delve into the world of multimodal AI applications.

Building and Evaluating Multimodal GenAI Apps: RAG Triad is All you Need

Q&A Session with lablab.ai mentors on Discord

Submissions Deadline

The focus is on building the application which would help to provides incentives on eating healthy

NutriSnap

Hrishikesh332

NutriSnap is a mobile application that uses machine learning to identify food items and provide detailed nutritional information. By simply taking a picture of a food item, the app can provide a detailed breakdown of its nutritional content. This makes it easy for users to track their dietary intake and make informed decisions about their food choices.

The application is designed to be user-friendly and intuitive. Users can easily take a photo of their food, and the app will quickly provide the nutritional information. Users can also save their food items to a diary, which can be used to track their eating habits over time. The app also provides a visualized analysis of users' eating habits, helping them understand their dietary patterns and make necessary adjustments🔍

Gemini Pro for the Nutritionist Chat and also there are many usecases with the NFTs here were the transparency problem is also solved.

NutriSnap is a mobile application that uses machine learning to identify food items and provide detailed nutritional information. By simply taking a picture of a food item, the app can provide a detailed breakdown of its nutritional content. 


"NutriSnap team on Gemini AI Hackathon Hackathon"

Team Idea

Submission