Edge Runners 3.2

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Futuristic hackathon scene bursting with teamwork, creativity, and innovation.

Llama Legends

zambiz

rayyan_physicist

MuhammadTalha

Zartashia

In the Edge Runners 3.2 Hackathon, we're creating a Personalized Diabetes Plan app using Meta's advanced Llama 3.2 models. Our approach focuses on three key objectives:

Generate Synthetic Data: Leveraging Llama 3.2's capabilities, we create high-quality, diverse datasets to enhance data variety and improve model training.
Optimize Models: We train smaller models such as TinyLlama and Phi-3 to maximize their performance on edge devices like smartphones, tablets, and IoT devices.
Deploy on Edge Devices: Our cloud prototypes are designed for seamless integration on edge hardware, ensuring efficient local data processing without relying heavily on centralized cloud resources.
This project showcases our innovative solution's potential to run sophisticated AI models directly on edge devices, transforming diabetes management into a highly personalized experience.

Creating a Personalized Diabetes Plan app using Meta's Llama 3.2 in the Edge Runners 3.2 Hackathon, generating synthetic data to optimize models like TinyLlama for efficient edge deployment on smartphones and IoT devices.

"Llama Legends team on Edge Runners 3.2 Hackathon"

Team Idea

Submission